Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495869
A. F. M. Amidon, N. Z. Mahabob, N. Ismail, M. Rahiman, Z. Yusoff, M. Taib, S. N. Tajuddin, N. M. Ali
These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded. It happens due to the variety of usages such as incense, traditional medicine, and perfumes. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading method of agarwood oil was implemented. As a solution forms, it is very important to come out with a standard method of quality classification for agarwood oil grading’s. By continuing of the research for the development of this standard, the comparison of different type of kernel parameter on nonlinear data based on performance measure has been the main objective of this paper. Support Vector Machine (SVM) has been selected as intelligent technique to comparing the output of different type of kernel parameter used. The analysis work has involving the data taken from the previous researcher that consists of two classes of agarwood oil quality’s samples which is high and low quality. For the output of this research was the classification of two different quality while the input was the different percentage of the compounds added. The desk research has been conducted by using a software application named MATLAB with version R2016a. The research indicates that each of different kernel parameter used have pass the performance measures standard. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.
{"title":"Comparison of Different Kernel Parameters using Support Vector Machine for Agarwood Oil Grading","authors":"A. F. M. Amidon, N. Z. Mahabob, N. Ismail, M. Rahiman, Z. Yusoff, M. Taib, S. N. Tajuddin, N. M. Ali","doi":"10.1109/I2CACIS52118.2021.9495869","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495869","url":null,"abstract":"These days, agarwood oil becoming a high demand throughout the world and Malaysia is not excluded. It happens due to the variety of usages such as incense, traditional medicine, and perfumes. However, there has been a lack of research on the development of agarwood oil because there is no any standard grading method of agarwood oil was implemented. As a solution forms, it is very important to come out with a standard method of quality classification for agarwood oil grading’s. By continuing of the research for the development of this standard, the comparison of different type of kernel parameter on nonlinear data based on performance measure has been the main objective of this paper. Support Vector Machine (SVM) has been selected as intelligent technique to comparing the output of different type of kernel parameter used. The analysis work has involving the data taken from the previous researcher that consists of two classes of agarwood oil quality’s samples which is high and low quality. For the output of this research was the classification of two different quality while the input was the different percentage of the compounds added. The desk research has been conducted by using a software application named MATLAB with version R2016a. The research indicates that each of different kernel parameter used have pass the performance measures standard. The verdict in this research for sure will be valuable for the future research works of agarwood oil areas, especially quality classification part.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127534328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495908
C. M. M. Isa, F. Nusa, S. Z. Ishak, S. Fam
The road and transport industry are few of the sectors most impacted by COVID-19. Thus, the movement restrictions were put in place by most of the countries in the world including Asia and Australasia to manage the pandemic. This has disrupted the supply chains and mobility networks and the overall economic slowdown. Some of the impacts has seriously affected transport operator finances, including revenue and cash flow, moving many companies closer to bankruptcy. With road and transport sectors as the key driver of economic and social activities, the recovery from COVID-19 in countries all over the world is at risk. Thus, this paper presents the impacts of COVID-19 pandemic on road and transport sectors in Asia and Australasia based on a quantitative method through an online questionnaire survey. One hundred and seventeen (117) participants from various countries and background have responded and gave their feedbacks on the impact factors. The findings shows that the top five (5) factors impacting the road and transport sectors are suspension of current activities and operations, followed by the reduction in company’s revenue, profits, cashflow, turnover, interruption in construction planning and scheduling, transport disruptions to supply chains, mobility network and public transport usage and the transport travel pattern and ridership. This study is limited to number of survey samples as indicated in the paper. Only on the surface impact was measured in this study. Thus, it is recommended to carry out details analysis on the impacted area to investigate the magnitude and scale of the impacted area to road and transport sectors due to COVID-19 pandemics.
{"title":"Impacts of COVID-19 Pandemic on the Road and Transport Sectors using Relative Importance Index","authors":"C. M. M. Isa, F. Nusa, S. Z. Ishak, S. Fam","doi":"10.1109/I2CACIS52118.2021.9495908","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495908","url":null,"abstract":"The road and transport industry are few of the sectors most impacted by COVID-19. Thus, the movement restrictions were put in place by most of the countries in the world including Asia and Australasia to manage the pandemic. This has disrupted the supply chains and mobility networks and the overall economic slowdown. Some of the impacts has seriously affected transport operator finances, including revenue and cash flow, moving many companies closer to bankruptcy. With road and transport sectors as the key driver of economic and social activities, the recovery from COVID-19 in countries all over the world is at risk. Thus, this paper presents the impacts of COVID-19 pandemic on road and transport sectors in Asia and Australasia based on a quantitative method through an online questionnaire survey. One hundred and seventeen (117) participants from various countries and background have responded and gave their feedbacks on the impact factors. The findings shows that the top five (5) factors impacting the road and transport sectors are suspension of current activities and operations, followed by the reduction in company’s revenue, profits, cashflow, turnover, interruption in construction planning and scheduling, transport disruptions to supply chains, mobility network and public transport usage and the transport travel pattern and ridership. This study is limited to number of survey samples as indicated in the paper. Only on the surface impact was measured in this study. Thus, it is recommended to carry out details analysis on the impacted area to investigate the magnitude and scale of the impacted area to road and transport sectors due to COVID-19 pandemics.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116872623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495860
Uma Syamkumar, J. B.
A smoothed Kalman filter trained recurrent neural network is proposed as an observer for sensorless vector control of three phase induction motor. Recurrent neural networks which are capable of online training is used here. The speed and flux are estimated using this observer for closed loop vector control. The proposed observer shows good performance in transient and steady state and also in variations in load and speed. Simulations are performed on a 0.75HP induction motor drive and results are compared with those of an extended Kalman filter trained recurrent neural observer.
{"title":"A Smoothed Kalman filter Trained MRAS Based Recurrent Neural Observer for Indirect Vector Controlled Induction Motor Drive","authors":"Uma Syamkumar, J. B.","doi":"10.1109/I2CACIS52118.2021.9495860","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495860","url":null,"abstract":"A smoothed Kalman filter trained recurrent neural network is proposed as an observer for sensorless vector control of three phase induction motor. Recurrent neural networks which are capable of online training is used here. The speed and flux are estimated using this observer for closed loop vector control. The proposed observer shows good performance in transient and steady state and also in variations in load and speed. Simulations are performed on a 0.75HP induction motor drive and results are compared with those of an extended Kalman filter trained recurrent neural observer.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128490266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495893
D. D. Caseserano, M. R. M. Nagales, P.S. Santos, M. Pacis
Too much reliance on fossil fuels to meet global energy demand also drives current global warming. To lessen dependency and help reduce global emissions from fossil fuels, this study focuses on the production of purified biogas compressed as natural gas that can replace electricity and LPG as an energy source for cooking. 85:15 mixture ratio of pig manure and coconut meat was used for anaerobic digestion to produce biogas. Purification through removal of Hydrogen Sulfide (H2S), Carbon Dioxide (CO2), and Water Vapor to increase Methane (CH4) was performed with the use of steel wool, water, and silica gel. Pressure, temperature, pH value, and gas percentage composition are the parameters measured and monitored from the web-based software. Control points of the system are solenoid valves that allow gas flow between the units only if set parameter criteria are met. The system is also capable of sending SMS alerts during methane leakage. The production peaked at the end of the fourth week, with a total of 64.52 psi of purified biogas compressed into an aluminum cylinder. Biogas methane concentration and calorific value of raw biogas were improved from an average of 63.82% to 91.85% and 20.55 MJ/m3 to 37.50 MJ/m3 allowing it to be called natural gas. Finally, its cooking capability was tested when the Compressed Natural Gas (CNG) was used to boil 500 mL of water that took 5 minutes and 15 seconds.
{"title":"Production Control System for Compressed Natural Gas (CNG) with Web-based Monitoring Technology and Leak Detection System","authors":"D. D. Caseserano, M. R. M. Nagales, P.S. Santos, M. Pacis","doi":"10.1109/I2CACIS52118.2021.9495893","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495893","url":null,"abstract":"Too much reliance on fossil fuels to meet global energy demand also drives current global warming. To lessen dependency and help reduce global emissions from fossil fuels, this study focuses on the production of purified biogas compressed as natural gas that can replace electricity and LPG as an energy source for cooking. 85:15 mixture ratio of pig manure and coconut meat was used for anaerobic digestion to produce biogas. Purification through removal of Hydrogen Sulfide (H2S), Carbon Dioxide (CO2), and Water Vapor to increase Methane (CH4) was performed with the use of steel wool, water, and silica gel. Pressure, temperature, pH value, and gas percentage composition are the parameters measured and monitored from the web-based software. Control points of the system are solenoid valves that allow gas flow between the units only if set parameter criteria are met. The system is also capable of sending SMS alerts during methane leakage. The production peaked at the end of the fourth week, with a total of 64.52 psi of purified biogas compressed into an aluminum cylinder. Biogas methane concentration and calorific value of raw biogas were improved from an average of 63.82% to 91.85% and 20.55 MJ/m3 to 37.50 MJ/m3 allowing it to be called natural gas. Finally, its cooking capability was tested when the Compressed Natural Gas (CNG) was used to boil 500 mL of water that took 5 minutes and 15 seconds.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123991446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495871
Wee Ying Heng, Muhammad Attique Khan, M. Ramasamy, C. Ang, Lim Wei Hong, K. Aramugam, C. Deisy, S. Sridevi, M. Suresh
Development of society inevitably leads to increase in unforeseen problems. An example of this is the presence of piping system and its disadvantages. There are numerous usages of the piping system for instance the sewage at housing area of restaurant as well as offshore deep sea mining of oil. Some of the problems with these systems include blockage, cracking, etc. However, these can be solved with advancement of technology or more specifically, robot. By definition, a robot is a machine with the ability to carry out complex series of actions automatically. This is especially true for a programmable machine. By creating a laboratory-scale pipeline crack inspection robot, these problems can be tackled.
{"title":"Development of a Laboratory-Scale Pipeline Crack Inspection Robot","authors":"Wee Ying Heng, Muhammad Attique Khan, M. Ramasamy, C. Ang, Lim Wei Hong, K. Aramugam, C. Deisy, S. Sridevi, M. Suresh","doi":"10.1109/I2CACIS52118.2021.9495871","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495871","url":null,"abstract":"Development of society inevitably leads to increase in unforeseen problems. An example of this is the presence of piping system and its disadvantages. There are numerous usages of the piping system for instance the sewage at housing area of restaurant as well as offshore deep sea mining of oil. Some of the problems with these systems include blockage, cracking, etc. However, these can be solved with advancement of technology or more specifically, robot. By definition, a robot is a machine with the ability to carry out complex series of actions automatically. This is especially true for a programmable machine. By creating a laboratory-scale pipeline crack inspection robot, these problems can be tackled.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121681317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495903
Carl Kenneth F. Flores, John Ira C. Nagar, Zachary Raphael B. Origenes, Bryle Evan M. Reyes, Ricky D. Umali, M. Manuel, Jennifer C. Dela Cruz, Marvin S. Verdadero
In-pipe inspection robots are used to inspect the physical pipe conditions to reduce the likelihood of pipe failure because it can fit or be smaller than the pipe’s size for it to inspect the pipe’s interior. In this study, an improved design of an in-pipe inspection robot that can climb vertical pipes will be evaluated to determine if the designed chassis is acceptable through stress simulation and to analyze if the design has stable motion when traversing horizontal and vertical pipes. Before simulating the improved robot design in Adams, a simulation model will be made based on a fabricated in-pipe inspection robot to validate if Adams is a valid method for creating virtual prototypes. In the stress simulation, the results show that the design is acceptable as it did not have any deformation from the forces imposed on it during compression. The results of the simulation model based on the past study are shown to be almost similar to the actual results with less than 1% error that proves using Adams is valid for creating a virtual prototype. After evaluating the improved design by analyzing the mechanical behavior simulation model inside horizontal and vertical pipes with 6-8 inches inside diameter as well as comparing the displacement, velocity, spring force, and torque based on changes in pipe size and orientation, the design has shown to have stable motion and can climb vertical pipes without much issue.
{"title":"Design, Modeling, and Simulation of a Wheeled, Wall-Pressed, In-Pipe Inspection Robot for Pipes with 6-8 inches Inside Diameter","authors":"Carl Kenneth F. Flores, John Ira C. Nagar, Zachary Raphael B. Origenes, Bryle Evan M. Reyes, Ricky D. Umali, M. Manuel, Jennifer C. Dela Cruz, Marvin S. Verdadero","doi":"10.1109/I2CACIS52118.2021.9495903","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495903","url":null,"abstract":"In-pipe inspection robots are used to inspect the physical pipe conditions to reduce the likelihood of pipe failure because it can fit or be smaller than the pipe’s size for it to inspect the pipe’s interior. In this study, an improved design of an in-pipe inspection robot that can climb vertical pipes will be evaluated to determine if the designed chassis is acceptable through stress simulation and to analyze if the design has stable motion when traversing horizontal and vertical pipes. Before simulating the improved robot design in Adams, a simulation model will be made based on a fabricated in-pipe inspection robot to validate if Adams is a valid method for creating virtual prototypes. In the stress simulation, the results show that the design is acceptable as it did not have any deformation from the forces imposed on it during compression. The results of the simulation model based on the past study are shown to be almost similar to the actual results with less than 1% error that proves using Adams is valid for creating a virtual prototype. After evaluating the improved design by analyzing the mechanical behavior simulation model inside horizontal and vertical pipes with 6-8 inches inside diameter as well as comparing the displacement, velocity, spring force, and torque based on changes in pipe size and orientation, the design has shown to have stable motion and can climb vertical pipes without much issue.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134079735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495884
Faeq J. Zwayyer, Afaneen A. Abood, J. Hussein
Improved Grey Wolf Optimizer (I-GWO) is a new explored to develop an algorithm for solving engineering issues. Recently, the I-GWO is very popular among researchers due to its effectiveness in solving complex engineering problems especially that related to power systems. This paper proposes I-GWO based automatic generation control for elimination of the frequency and power interchange deviation in an interconnected power system. A two area six-unit multi-source system equipped with PID and PID with derivative filter (PIDF) controllers is taken in consideration. I-GWO is used to seek for optimal parameters of controllers. The performance of the suggested optimal controller is compared and evaluated with that of the conventional PID controller in order to demonstrate the superior efficiency of the suggested I-GWO in PIDF controller tuning. The simulation results prove that the optimal I-GWO based controller provides better performance as compared with the conventional controller.
{"title":"Improved Grey Wolf Optimizer Algorithm for PIDF Controller for AGC of Multi-Area Multi-Source Interconnected Power System","authors":"Faeq J. Zwayyer, Afaneen A. Abood, J. Hussein","doi":"10.1109/I2CACIS52118.2021.9495884","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495884","url":null,"abstract":"Improved Grey Wolf Optimizer (I-GWO) is a new explored to develop an algorithm for solving engineering issues. Recently, the I-GWO is very popular among researchers due to its effectiveness in solving complex engineering problems especially that related to power systems. This paper proposes I-GWO based automatic generation control for elimination of the frequency and power interchange deviation in an interconnected power system. A two area six-unit multi-source system equipped with PID and PID with derivative filter (PIDF) controllers is taken in consideration. I-GWO is used to seek for optimal parameters of controllers. The performance of the suggested optimal controller is compared and evaluated with that of the conventional PID controller in order to demonstrate the superior efficiency of the suggested I-GWO in PIDF controller tuning. The simulation results prove that the optimal I-GWO based controller provides better performance as compared with the conventional controller.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131487328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495850
Farha Khushi, S. Motakabber, Amit Bhattacharjee, A. Z. Zahirul Alam, Amelia Wong Azman, Fayaz Hussain
For every researcher, uncertainties connected to the Smart Grid and Distribution Network are a common element. Thousands of sources are part of the renewable energy system and they are situated at varying distances. In due course, certain sources may be inefficient, or a natural disaster can destroy the source causing power supply failures or require routine maintenance to improve service. Some of these defects grow slowly and some have a strong impact. The systems, however, contain safety components to remove the problem, but impact the generation of electricity and conduct intelligent grid errors. An intelligent microgrid should feature an intelligent fault location detection and fault removal device to avoid unwanted loads and insecurities. This research shaped a smart grid system, together with a defective technique to identify uncertainty efficiently. The originality of this research is to model an SMG based on an isolated small area's SGC mechanism in conjunction with a defective detecting system to manage uncertainties in an efficient way. The FLD technique is focused upon wavelet trigger signal and mathematical morphology method. In this approach, the wavelet activator signal created by the equivalent current or voltage for a short period of time is simulated to go to both terminals to determine that the fault takes place in the short branch using the mathematical morphological technique. The SMG modeled system is separated into a few branches for the FLD system. A smart technique is presented via mixed human machine interface (HMI) for SMG performance and FLD monitoring. The integrated process of the SMG system modeling in the MATLAB performance validation simulation platform.
{"title":"A Smart Microgrid Approach for Distributed Network Combined with Power Line Fault Location Detection","authors":"Farha Khushi, S. Motakabber, Amit Bhattacharjee, A. Z. Zahirul Alam, Amelia Wong Azman, Fayaz Hussain","doi":"10.1109/I2CACIS52118.2021.9495850","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495850","url":null,"abstract":"For every researcher, uncertainties connected to the Smart Grid and Distribution Network are a common element. Thousands of sources are part of the renewable energy system and they are situated at varying distances. In due course, certain sources may be inefficient, or a natural disaster can destroy the source causing power supply failures or require routine maintenance to improve service. Some of these defects grow slowly and some have a strong impact. The systems, however, contain safety components to remove the problem, but impact the generation of electricity and conduct intelligent grid errors. An intelligent microgrid should feature an intelligent fault location detection and fault removal device to avoid unwanted loads and insecurities. This research shaped a smart grid system, together with a defective technique to identify uncertainty efficiently. The originality of this research is to model an SMG based on an isolated small area's SGC mechanism in conjunction with a defective detecting system to manage uncertainties in an efficient way. The FLD technique is focused upon wavelet trigger signal and mathematical morphology method. In this approach, the wavelet activator signal created by the equivalent current or voltage for a short period of time is simulated to go to both terminals to determine that the fault takes place in the short branch using the mathematical morphological technique. The SMG modeled system is separated into a few branches for the FLD system. A smart technique is presented via mixed human machine interface (HMI) for SMG performance and FLD monitoring. The integrated process of the SMG system modeling in the MATLAB performance validation simulation platform.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123111451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495881
Mostafa Q. Kasim, R. Hassan
Model predictive control (MPC) is one of the control strategies used recently to control power converters because of its advantages of handling nonlinear functions, fast dynamic response, and eliminating the modulators and PI regulators. However, it has one disadvantage: it requires high processing power to operate correctly due to the high computational burden on the controller. This paper presents a new method of controlling the performance of grid-tied multilevel inverter functioned as STATCOM based on finite control set model predictive current control (FCS-MPCC). This control strategy is employed to control a five-level asymmetric stacked multilevel inverter (ASMLI) and coupled with the network through LCL-filter. Multilevel inverters suffer from capacitors voltages unbalance problem, and LCL-filters require an efficient damping method to function appropriately; these two challenges are included in the cost function of the FCS-MPCC. The FCS-MPCC strategy is constructed in two methods. The first method is the traditional method, which requires 729 calculations per sampling instant. An effective calculation method has been proposed as a second method, as it requires 27 calculations at each sampling instant. These two methods are compared to ensure that the proposed method does not affect STATCOM performance. MATLAB / Simulink is used to simulate these two models. The result demonstrates that the proposed method reduces implementation time five times than the other method with no loss of reference traceability, balanced capacitors voltage, and damped filter performance.
{"title":"Reduced Computational Burden Model Predictive Current Control of Asymmetric Stacked Multi-Level Inverter Based STATCOM","authors":"Mostafa Q. Kasim, R. Hassan","doi":"10.1109/I2CACIS52118.2021.9495881","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495881","url":null,"abstract":"Model predictive control (MPC) is one of the control strategies used recently to control power converters because of its advantages of handling nonlinear functions, fast dynamic response, and eliminating the modulators and PI regulators. However, it has one disadvantage: it requires high processing power to operate correctly due to the high computational burden on the controller. This paper presents a new method of controlling the performance of grid-tied multilevel inverter functioned as STATCOM based on finite control set model predictive current control (FCS-MPCC). This control strategy is employed to control a five-level asymmetric stacked multilevel inverter (ASMLI) and coupled with the network through LCL-filter. Multilevel inverters suffer from capacitors voltages unbalance problem, and LCL-filters require an efficient damping method to function appropriately; these two challenges are included in the cost function of the FCS-MPCC. The FCS-MPCC strategy is constructed in two methods. The first method is the traditional method, which requires 729 calculations per sampling instant. An effective calculation method has been proposed as a second method, as it requires 27 calculations at each sampling instant. These two methods are compared to ensure that the proposed method does not affect STATCOM performance. MATLAB / Simulink is used to simulate these two models. The result demonstrates that the proposed method reduces implementation time five times than the other method with no loss of reference traceability, balanced capacitors voltage, and damped filter performance.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114272148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-26DOI: 10.1109/I2CACIS52118.2021.9495867
Jon Kenneth D. Argel, John Remigio W. Badiola, Patrick M. Orcio, G. I. R. Pascasio, Ricky D. Umali, M. Manuel, Jennifer C. Dela Cruz, Marvin S. Verdadero
Electric stoves can be considered as alternatives for gas stoves since gas stoves are still mainly used in cooking industries and households, wherein both mentioned stoves were not fully utilized because of the amount of energy wasted during the process of cooking. The cooking pots commonly available in the market were the ones causing the waste of energy since heat can freely escape through the sides and lid of the pot. As a result, the cooking efficiency of the conventional pots decreases. This study focuses on the design and testing of improved cooking pots in terms of putting insulation using biomass materials to decrease the heat transfer rate when the stove is not in use and improve the cooking efficiency by 67%. To decrease the heat transfer rate of the pot, insulation made up of sugarcane bagasse and coconut husk was used. By adding insulation, thickness becomes greater. Thus, escape of heat would be controlled. In this study, the researchers took note and gathered data on the following: the cooking efficiency, the time to reach 100 degrees Celsius, and the temperature after a certain amount of time. The testing was done by observing the temperature of water when bringing to a boil and when cooling, and the mass of water evaporated after boiling. The modified pot shows significant results as compared to the conventional cooking pot in terms of cooking efficiency with 83.77%, and 16.19%, respectively, as well as the temperature after two hours having 63.2 degrees Celsius, and 44.2 degrees Celsius, respectively. With these, the modified pot has greatly improved its performance.
{"title":"Design, Fabrication, and Testing of a Biomass-Insulated Cooking Pot","authors":"Jon Kenneth D. Argel, John Remigio W. Badiola, Patrick M. Orcio, G. I. R. Pascasio, Ricky D. Umali, M. Manuel, Jennifer C. Dela Cruz, Marvin S. Verdadero","doi":"10.1109/I2CACIS52118.2021.9495867","DOIUrl":"https://doi.org/10.1109/I2CACIS52118.2021.9495867","url":null,"abstract":"Electric stoves can be considered as alternatives for gas stoves since gas stoves are still mainly used in cooking industries and households, wherein both mentioned stoves were not fully utilized because of the amount of energy wasted during the process of cooking. The cooking pots commonly available in the market were the ones causing the waste of energy since heat can freely escape through the sides and lid of the pot. As a result, the cooking efficiency of the conventional pots decreases. This study focuses on the design and testing of improved cooking pots in terms of putting insulation using biomass materials to decrease the heat transfer rate when the stove is not in use and improve the cooking efficiency by 67%. To decrease the heat transfer rate of the pot, insulation made up of sugarcane bagasse and coconut husk was used. By adding insulation, thickness becomes greater. Thus, escape of heat would be controlled. In this study, the researchers took note and gathered data on the following: the cooking efficiency, the time to reach 100 degrees Celsius, and the temperature after a certain amount of time. The testing was done by observing the temperature of water when bringing to a boil and when cooling, and the mass of water evaporated after boiling. The modified pot shows significant results as compared to the conventional cooking pot in terms of cooking efficiency with 83.77%, and 16.19%, respectively, as well as the temperature after two hours having 63.2 degrees Celsius, and 44.2 degrees Celsius, respectively. With these, the modified pot has greatly improved its performance.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122820145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：