Pub Date : 2023-05-15DOI: 10.46904/eea.23.71.2.1108008
B. Bentouati, Kelthoum Hachani, S. Chettih, R. El-Sehiemy
The economic power dispatch (EPD) problem aims to find the optimal operational settings of power generating units with minimizing the entire production costs of generation and all system constraints are kept into their acceptable limitations. Meanwhile, achieving this economical operation based on the reduction of the fuel cost and fossil fuel fired power plant emission should be as little as possible. Another nonlinear framework, with contradictory objectives, called combined economical emission power dispatch (CEEPD) is considered as the target framework in this study. The CEEPD framework is subjected to a set of operational equality and inequality constraints. In terms of the solution methodology, this paper is focused at developing a novel optimization algorithm called Chaotic Krill Herd Algorithm (CKHA) as an efficient tool for solving non-convex EPD and CEEPD frameworks. The proposed CKHA is tested on several IEEE test systems for refining its convergence and therefore aggregating the overall solution method. The numerical results clearly show the dominance of CKHA in finding the competitive best fitness functions compared with the advanced methods those published in the literature.
{"title":"A Chaotic Krill Herd Technique for Solving Combined Economic Emission Dispatch","authors":"B. Bentouati, Kelthoum Hachani, S. Chettih, R. El-Sehiemy","doi":"10.46904/eea.23.71.2.1108008","DOIUrl":"https://doi.org/10.46904/eea.23.71.2.1108008","url":null,"abstract":"The economic power dispatch (EPD) problem aims to find the optimal operational settings of power generating units with minimizing the entire production costs of generation and all system constraints are kept into their acceptable limitations. Meanwhile, achieving this economical operation based on the reduction of the fuel cost and fossil fuel fired power plant emission should be as little as possible. Another nonlinear framework, with contradictory objectives, called combined economical emission power dispatch (CEEPD) is considered as the target framework in this study. The CEEPD framework is subjected to a set of operational equality and inequality constraints. In terms of the solution methodology, this paper is focused at developing a novel optimization algorithm called Chaotic Krill Herd Algorithm (CKHA) as an efficient tool for solving non-convex EPD and CEEPD frameworks. The proposed CKHA is tested on several IEEE test systems for refining its convergence and therefore aggregating the overall solution method. The numerical results clearly show the dominance of CKHA in finding the competitive best fitness functions compared with the advanced methods those published in the literature.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79098333","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 : 2023-05-15DOI: 10.46904/eea.23.71.2.1108004
Titu-Marius I. Băjenescu
In recent years the solar cells have experienced a rapid development. Due to this shift in application area, the cells performances are becoming increasingly important issues to be solved. In laboratory tests, a Swiss-American research team demonstrated that the solar cell could convert direct sunlight into electricity at 29.8% efficiency. A good price-performance ratio is the key for the future production.
{"title":"Perovskites and Photovoltaic Cells – a History of Records","authors":"Titu-Marius I. Băjenescu","doi":"10.46904/eea.23.71.2.1108004","DOIUrl":"https://doi.org/10.46904/eea.23.71.2.1108004","url":null,"abstract":"In recent years the solar cells have experienced a rapid development. Due to this shift in application area, the cells performances are becoming increasingly important issues to be solved. In laboratory tests, a Swiss-American research team demonstrated that the solar cell could convert direct sunlight into electricity at 29.8% efficiency. A good price-performance ratio is the key for the future production.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80456019","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 : 2023-05-15DOI: 10.46904/eea.23.71.2.1108006
Di Hou, Yanfen Li
The mining dump truck has a large load capacity, low running speed, and the characteristics of low speed and high torque. The planetary wheel reducer can meet this demand, which is widely used in such vehicles. According to the structural characteristics of a 170-ton vehicle two-stage planetary gear reducer, the reliability of planetary gear transmission at all levels was analysed, and the system parameters were optimized on this basis. The multi-objective optimization design method was used to transform the maximum reliability of the system into the maximum reliability of the gears at all levels, and the constraints are established based on the actual processing, operation, installation, assembly and other working conditions. The MATLAB multi-objective optimization module was used to solve the analysis, and the best gear design parameters were obtained after rounding. Under different operating conditions, the planetary reducer before and after optimization was compared and analysed to obtain the reliability and service life of the entire deceleration system after optimization. The analysis results show that: after the parameter optimization of the planetary reducer, the transmission efficiency is 0.946, and the transmission ratio of the system is 30.54, which meets the actual use requirements. The reliability coefficient of the contact strength of the tooth surface of the secondary sun gear is 2.52, the reliability coefficient of the bending fatigue strength of the root of the secondary inner ring gear is 2.59, and the reliability of the secondary gear is 0.989. The reliability is obviously improved. The safety factor of the main parts is high. The service life of each gear of the whole secondary reduction system meets the design requirements. The analysis content and results provide reference for the optimization design and reliability analysis of similar planetary gear systems.
{"title":"Reliability Design of Two-Stage Planetary Gear Wheel Hub Reducer based on Multi-Objective Optimization","authors":"Di Hou, Yanfen Li","doi":"10.46904/eea.23.71.2.1108006","DOIUrl":"https://doi.org/10.46904/eea.23.71.2.1108006","url":null,"abstract":"The mining dump truck has a large load capacity, low running speed, and the characteristics of low speed and high torque. The planetary wheel reducer can meet this demand, which is widely used in such vehicles. According to the structural characteristics of a 170-ton vehicle two-stage planetary gear reducer, the reliability of planetary gear transmission at all levels was analysed, and the system parameters were optimized on this basis. The multi-objective optimization design method was used to transform the maximum reliability of the system into the maximum reliability of the gears at all levels, and the constraints are established based on the actual processing, operation, installation, assembly and other working conditions. The MATLAB multi-objective optimization module was used to solve the analysis, and the best gear design parameters were obtained after rounding. Under different operating conditions, the planetary reducer before and after optimization was compared and analysed to obtain the reliability and service life of the entire deceleration system after optimization. The analysis results show that: after the parameter optimization of the planetary reducer, the transmission efficiency is 0.946, and the transmission ratio of the system is 30.54, which meets the actual use requirements. The reliability coefficient of the contact strength of the tooth surface of the secondary sun gear is 2.52, the reliability coefficient of the bending fatigue strength of the root of the secondary inner ring gear is 2.59, and the reliability of the secondary gear is 0.989. The reliability is obviously improved. The safety factor of the main parts is high. The service life of each gear of the whole secondary reduction system meets the design requirements. The analysis content and results provide reference for the optimization design and reliability analysis of similar planetary gear systems.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85538024","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 : 2023-05-15DOI: 10.46904/eea.23.71.2.1108002
N. Attou, S. Zidi, S. Hadjeri, M. Khatir
The development of renewable energy resources has grown significantly in recent years. These distributed energy resources are typically connected to the grid through power converters, which can be operated in "grid-forming" or "grid-following" mode. But the large-scale integration of DG units has serious repercussions on the stability of the power system due to their low inertia compared to the synchronous generator. However, an appropriate control guarantees a dynamic, smooth, and fast converter behaviour in an island configuration and voltage-frequency support in grid-connected mode. This paper presents a control system for Grid-Following and Grid-Following converters for a grid-connected MG. The aim is to achieve a seamless transition between the Microgrid and the main grid, appropriate load sharing between distributed energy sources, and an improvement of system stability. The developed grid-connected battery storage system inverter has been designed to be able to operate in two different modes: grid formation mode and grid injection mode. The control strategy considers the control loops of Voltage/current, Frequency, and active/reactive power. The proposed control technique is presented and simulated under the MATLAB/Simulink tool. The simulation results demonstrate the efficiency and performance of the proposed control technique in eliminating voltage, current, and frequency fluctuations and also guarantee a seamless transition between the two modes.
{"title":"Control Design of Grid-Forming and Grid-Following Inverters with a seamless transition in Microgrid","authors":"N. Attou, S. Zidi, S. Hadjeri, M. Khatir","doi":"10.46904/eea.23.71.2.1108002","DOIUrl":"https://doi.org/10.46904/eea.23.71.2.1108002","url":null,"abstract":"The development of renewable energy resources has grown significantly in recent years. These distributed energy resources are typically connected to the grid through power converters, which can be operated in \"grid-forming\" or \"grid-following\" mode. But the large-scale integration of DG units has serious repercussions on the stability of the power system due to their low inertia compared to the synchronous generator. However, an appropriate control guarantees a dynamic, smooth, and fast converter behaviour in an island configuration and voltage-frequency support in grid-connected mode. This paper presents a control system for Grid-Following and Grid-Following converters for a grid-connected MG. The aim is to achieve a seamless transition between the Microgrid and the main grid, appropriate load sharing between distributed energy sources, and an improvement of system stability. The developed grid-connected battery storage system inverter has been designed to be able to operate in two different modes: grid formation mode and grid injection mode. The control strategy considers the control loops of Voltage/current, Frequency, and active/reactive power. The proposed control technique is presented and simulated under the MATLAB/Simulink tool. The simulation results demonstrate the efficiency and performance of the proposed control technique in eliminating voltage, current, and frequency fluctuations and also guarantee a seamless transition between the two modes.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78395082","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 : 2023-05-15DOI: 10.46904/eea.23.71.2.1108003
Mohamed Ben Rahmoune, Abdelhamid IRATNI, A. Hafaifa, I. Colak
Vibration control in rotating machinery is a major challenge in oil and gas facilities that use these machines. In gas turbines, the instability phenomenon is generated by the rotor, and measurements must be made in the axial plane of the turbine. Minor defects can lead to significant vibration amplifications, making it imperative to detect these defects early. The goal of this study is to develop a diagnostic strategy to monitor faults affecting a turbine system using a supervision approach based on artificial neural networks. This strategy allows for early detection of faults, which allows for efficient management of vibration-induced failures, as well as economic gain, by recovering the transported gas used in these machines. By describing the vibration-related parameters and representing the state of the vibratory motion, the proposed approach provides a powerful tool for vibration control in rotating machines.
{"title":"Gas Turbine Vibration Detection and Identification based on Dynamic Artificial Neural Networks","authors":"Mohamed Ben Rahmoune, Abdelhamid IRATNI, A. Hafaifa, I. Colak","doi":"10.46904/eea.23.71.2.1108003","DOIUrl":"https://doi.org/10.46904/eea.23.71.2.1108003","url":null,"abstract":"Vibration control in rotating machinery is a major challenge in oil and gas facilities that use these machines. In gas turbines, the instability phenomenon is generated by the rotor, and measurements must be made in the axial plane of the turbine. Minor defects can lead to significant vibration amplifications, making it imperative to detect these defects early. The goal of this study is to develop a diagnostic strategy to monitor faults affecting a turbine system using a supervision approach based on artificial neural networks. This strategy allows for early detection of faults, which allows for efficient management of vibration-induced failures, as well as economic gain, by recovering the transported gas used in these machines. By describing the vibration-related parameters and representing the state of the vibratory motion, the proposed approach provides a powerful tool for vibration control in rotating machines.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77228515","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 : 2023-03-15DOI: 10.46904/eea.23.71.1.1108002
Photovoltaic systems are one of the most widely used technologies for sustainable energy production due to their various advantages, such as being clean, free, and renewable energy sources. However, the power generated by the PV systems is strongly dependent on the atmospheric conditions. In addition, a suitable DC/DC converter must be used with a robust controller to facilitate system operation point changes associated with the changed climate conditions. In this paper, to deal with this challenge, a photovoltaic system based on four leg interleaved boost converter (FLIBC) has been proposed and studied. For robustness, the presented system is controlled using nonlinear integral backstepping control (IBSC) to track the maximum power point (MPP) and ensure an equal sharing current among the FLIBC legs. Moreover, the particle swarm optimization algorithm is used to find the optimum gains of the proposed IBSC. The entire system is simulated and validated using MATLAB/ Simulink environment. The simulation results demonstrate the efficiency of the proposed system based on the optimized IBSC (OIBSC) controller in terms of MPP tracking speed, overshoot and undershoot reduction, power ripple, and optimization of the performance term integral time square error (ITSE).
{"title":"An Integral-Backstepping Controller for Interleaved Boost Converter based on Photovoltaic Systems","authors":"","doi":"10.46904/eea.23.71.1.1108002","DOIUrl":"https://doi.org/10.46904/eea.23.71.1.1108002","url":null,"abstract":"Photovoltaic systems are one of the most widely used technologies for sustainable energy production due to their various advantages, such as being clean, free, and renewable energy sources. However, the power generated by the PV systems is strongly dependent on the atmospheric conditions. In addition, a suitable DC/DC converter must be used with a robust controller to facilitate system operation point changes associated with the changed climate conditions. In this paper, to deal with this challenge, a photovoltaic system based on four leg interleaved boost converter (FLIBC) has been proposed and studied. For robustness, the presented system is controlled using nonlinear integral backstepping control (IBSC) to track the maximum power point (MPP) and ensure an equal sharing current among the FLIBC legs. Moreover, the particle swarm optimization algorithm is used to find the optimum gains of the proposed IBSC. The entire system is simulated and validated using MATLAB/ Simulink environment. The simulation results demonstrate the efficiency of the proposed system based on the optimized IBSC (OIBSC) controller in terms of MPP tracking speed, overshoot and undershoot reduction, power ripple, and optimization of the performance term integral time square error (ITSE).","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90759599","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 : 2023-03-15DOI: 10.46904/eea.23.71.1.1108008
O. Kraa, Sassia Boualem, M. Kermadi
The effective control and management strategies are crucial for ensuring the best performance of hybrid systems based on renewable energies and ensuring a dependable energy system with high efficiency. The energy flow management problem of a system with several sources can be addressed in one of three ways: through the use of control strategies, strategies based on predetermined rules, or optimization-based strategies. The main purpose of this work is to developpe a Stateflow-based energy management strategy for a 6-kilowatt photovoltaic array and battery hybrid source to supply an alternative load which also relies on grid power. Indirect control, also known as the voltage-based maximum power point tracking, is used to get the most energy out of a solar array. A fuzzy logic-based control technique is then applied to regulate direct current link voltage, and a Model Predictive Control is developed to fine-tune of the bidirectional converter. To show how efficient the proposed energy management strategy is when implemented using the Stateflow simulator in Matlab/Simulink software. The simulation results demonstrated the effectiveness of stateflow based energy management and its ability to adapt to weather conditions (irradiation) and load variations in different modes of operations of hybrid system include grid-connected and grid-non connected modes. The suggested Stateflow-based energy management is efficient in performance, easy to implement, and enables simulations of the switching between operating modes. Consequently, it is deemed highly suitable for managing the hybrid system under optimal operation mode settings.
{"title":"Flow-Chart Power Management for Grid-Connected Hybrid System","authors":"O. Kraa, Sassia Boualem, M. Kermadi","doi":"10.46904/eea.23.71.1.1108008","DOIUrl":"https://doi.org/10.46904/eea.23.71.1.1108008","url":null,"abstract":"The effective control and management strategies are crucial for ensuring the best performance of hybrid systems based on renewable energies and ensuring a dependable energy system with high efficiency. The energy flow management problem of a system with several sources can be addressed in one of three ways: through the use of control strategies, strategies based on predetermined rules, or optimization-based strategies. The main purpose of this work is to developpe a Stateflow-based energy management strategy for a 6-kilowatt photovoltaic array and battery hybrid source to supply an alternative load which also relies on grid power. Indirect control, also known as the voltage-based maximum power point tracking, is used to get the most energy out of a solar array. A fuzzy logic-based control technique is then applied to regulate direct current link voltage, and a Model Predictive Control is developed to fine-tune of the bidirectional converter. To show how efficient the proposed energy management strategy is when implemented using the Stateflow simulator in Matlab/Simulink software. The simulation results demonstrated the effectiveness of stateflow based energy management and its ability to adapt to weather conditions (irradiation) and load variations in different modes of operations of hybrid system include grid-connected and grid-non connected modes. The suggested Stateflow-based energy management is efficient in performance, easy to implement, and enables simulations of the switching between operating modes. Consequently, it is deemed highly suitable for managing the hybrid system under optimal operation mode settings.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74271525","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 : 2023-03-15DOI: 10.46904/eea.23.71.1.1108006
Hongzhen Yang, Bin Zhang, Yanjun Liu
When a four-wheel vehicle turns and the steering centre of the front and rear wheels is one point, it is regarded as the theoretical optimal steering of the vehicle and the goal of optimal control. Aiming at the commonly used multi-link steering system, the system control was analysed, according to the structural characteristics and angle relationship. Based on the closed-loop control algorithm, the optimal control of the steering system was designed and analysed, according to the steering control quantity obtained by the target path and parameter feedback. At the same time, the state variables and prediction parameters of the system were analysed. Based on the actual vehicle and steering optimal control system, the changes of various parameters of vehicle operation under no-load condition and turning at 30 km/h were analysed and compared with the theoretical optimal value to verify the effectiveness of the control system. The results show that: the state variables of the control system are predicted by discrete analysis and half step integration, and the accuracy is high. In the steady state turning condition, with the lifting of the vehicle, the radius of the steering track gradually increases, and the vehicle shows obvious understeer characteristics. Under the two working conditions, the characteristic curves obtained by the steering control system are highly consistent with the theoretical values, and the peak error of the two is controlled within 5%, indicating the reliability of the optimal control algorithm, which provides a reference for such design optimization.
{"title":"Control Analysis of Vehicle Steering System based on Closed-Loop Control Algorithm","authors":"Hongzhen Yang, Bin Zhang, Yanjun Liu","doi":"10.46904/eea.23.71.1.1108006","DOIUrl":"https://doi.org/10.46904/eea.23.71.1.1108006","url":null,"abstract":"When a four-wheel vehicle turns and the steering centre of the front and rear wheels is one point, it is regarded as the theoretical optimal steering of the vehicle and the goal of optimal control. Aiming at the commonly used multi-link steering system, the system control was analysed, according to the structural characteristics and angle relationship. Based on the closed-loop control algorithm, the optimal control of the steering system was designed and analysed, according to the steering control quantity obtained by the target path and parameter feedback. At the same time, the state variables and prediction parameters of the system were analysed. Based on the actual vehicle and steering optimal control system, the changes of various parameters of vehicle operation under no-load condition and turning at 30 km/h were analysed and compared with the theoretical optimal value to verify the effectiveness of the control system. The results show that: the state variables of the control system are predicted by discrete analysis and half step integration, and the accuracy is high. In the steady state turning condition, with the lifting of the vehicle, the radius of the steering track gradually increases, and the vehicle shows obvious understeer characteristics. Under the two working conditions, the characteristic curves obtained by the steering control system are highly consistent with the theoretical values, and the peak error of the two is controlled within 5%, indicating the reliability of the optimal control algorithm, which provides a reference for such design optimization.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72472943","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 : 2023-03-15DOI: 10.46904/eea.23.71.1.1108004
Bang Chen
Alternating current asynchronous motor has the advantages of simple structure, reliable operation, and low cost. It is especially suitable for the wheel drive system of large electric drive dump truck, and the nonlinear characteristics put forward higher requirements for the control system. According to the operation characteristics of a vehicle AC asynchronous motor, the characteristic parameter description equation was obtained. Based on the principle of vector control, the control system was designed, the analysis model of the control system was built based on Simulink, and the model speed and torque control were verified. The single and double step speed, slow acceleration and load operation was selected to test, and the changes of speed, output torque and other parameters were obtained. With reference to the actual vehicle characteristics, the test bench of asynchronous AC motor control system was built, and the characteristics of the control system under different load conditions were selected for verification. The analysis results show that the motor runs well in the control system built by vector control. Under different operating conditions, the system responds quickly, the parameter fluctuation is small, and the overall stability is maintained. Under the action of the control system, when operating below the fundamental frequency, the constant speed regulation operation is realized through voltage compensation. When the fundamental frequency is exceeded and the load condition is met, the system realizes constant power speed regulation. The maximum efficiency of the motor is more than 90%, which increases with the increase of load. The control system makes the motor show good advantages. It shows the reliability of the control model and provides a reference for this kind of design research.
{"title":"Alternating Current Asynchronous Motor Control System based on Vector Control","authors":"Bang Chen","doi":"10.46904/eea.23.71.1.1108004","DOIUrl":"https://doi.org/10.46904/eea.23.71.1.1108004","url":null,"abstract":"Alternating current asynchronous motor has the advantages of simple structure, reliable operation, and low cost. It is especially suitable for the wheel drive system of large electric drive dump truck, and the nonlinear characteristics put forward higher requirements for the control system. According to the operation characteristics of a vehicle AC asynchronous motor, the characteristic parameter description equation was obtained. Based on the principle of vector control, the control system was designed, the analysis model of the control system was built based on Simulink, and the model speed and torque control were verified. The single and double step speed, slow acceleration and load operation was selected to test, and the changes of speed, output torque and other parameters were obtained. With reference to the actual vehicle characteristics, the test bench of asynchronous AC motor control system was built, and the characteristics of the control system under different load conditions were selected for verification. The analysis results show that the motor runs well in the control system built by vector control. Under different operating conditions, the system responds quickly, the parameter fluctuation is small, and the overall stability is maintained. Under the action of the control system, when operating below the fundamental frequency, the constant speed regulation operation is realized through voltage compensation. When the fundamental frequency is exceeded and the load condition is met, the system realizes constant power speed regulation. The maximum efficiency of the motor is more than 90%, which increases with the increase of load. The control system makes the motor show good advantages. It shows the reliability of the control model and provides a reference for this kind of design research.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74383485","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 : 2023-03-15DOI: 10.46904/eea.23.71.1.1108009
Sofia Umaroh, Kurnia Ramadhan Putra, Nur Fitrianti Fahrudin, Zulkifli Arsyad
Knowledge management (KM) in education is considered an approach that enables people to collect information, share and use knowledge to improve organizational performance through educational programs, student outcomes, and effective decision-making of work processes. Organizational performance in the university includes student satisfaction, research productivity, curriculum, academic staff responsiveness, and research rankings. KM through the adoption of advanced technology enables organizations to implement better processes, strong and good collaborative structures, knowledge and information sharing, and problem-solving tools. However, limited studies examine the determinants of the KM process and their relationship to university performance through academic service quality from an educator's perspective. In this study, we proposed a theoretical research model to investigate the determinants of the KM process and examine its relationship to university performance through academic service quality. Data collected from 71 academic staff in universities were used to test the hypotheses with structural equation modelling – Partial Least Square. The results showed information technology and culture have a positive impact on the KM process. Quality of academic services partially mediates knowledge management and university performance. KM process and quality of academic services determine and influence organizational performance substantially (f-square=77.6 %). Finally, among the KM processes, knowledge discovery was found to have the highest effect size on organizational performance. However, KM enablers consisting of rewards & incentives, and organizational support were not proven to influence the KM process. Both culture and IT capabilities must be considered by universities in supporting the KM process and building a culture that supports sharing and utilizing knowledge in every task. Additionally, this capability can help improve the quality of academic services which leads to increased organizational performance.
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