Pub Date : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8959960
S. Shyry, Venkat Sai Charan K, V. S. Kumar
Spam is a genuine and irritating issue for quite a longtime. Despite the fact that a lot of arrangements have been advanced, there still remains a considerable measure to be advanced in separating spam messages all the more proficiently. These days a noteworthy issue in spam separating also as content characterization in common dialect handling is the colossal size of vector space because of the various element terms, which is normally the reason for broad figuring and moderate order. Extracting semantic implications from the substance of writings and utilizing these as highlight terms to develop the vector space, rather than utilizing words as highlight terms in convention ways, could decrease the component of vectors viably and advance the characterization in the meantime. In spite of the fact that there are a wide range of techniques to square spam messages, a large portion of program designers just mean to square spam messages from being conveyed to their customers. In this paper, we present an effective way to deal with keep spam messages from being exchanged.In this work, a Collaborative filtering approach with semantics-based text classification technology was proposed and the related feature terms were selected from the semantic meanings of the text content.
{"title":"Spam Mail Detection and Prevention at Server Side","authors":"S. Shyry, Venkat Sai Charan K, V. S. Kumar","doi":"10.1109/i-PACT44901.2019.8959960","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8959960","url":null,"abstract":"Spam is a genuine and irritating issue for quite a longtime. Despite the fact that a lot of arrangements have been advanced, there still remains a considerable measure to be advanced in separating spam messages all the more proficiently. These days a noteworthy issue in spam separating also as content characterization in common dialect handling is the colossal size of vector space because of the various element terms, which is normally the reason for broad figuring and moderate order. Extracting semantic implications from the substance of writings and utilizing these as highlight terms to develop the vector space, rather than utilizing words as highlight terms in convention ways, could decrease the component of vectors viably and advance the characterization in the meantime. In spite of the fact that there are a wide range of techniques to square spam messages, a large portion of program designers just mean to square spam messages from being conveyed to their customers. In this paper, we present an effective way to deal with keep spam messages from being exchanged.In this work, a Collaborative filtering approach with semantics-based text classification technology was proposed and the related feature terms were selected from the semantic meanings of the text content.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114772207","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8960153
Furzana John Basha, K. Somasundaram
This paper deals with sensorless speed estimation of an Induction Motor with minimum mean square error. For sensorless speed estimation, Unscented Kalman Filter (UKF) is used. The performance of this filter depends on the process and the measurement noise covariance parameters of the estimator which estimates stator and rotor current, rotor flux, rotor speed, torque and it is also influenced by three scalar parameters such as alpha, beta, and kappa. As the selection of these values are not of a straight forward approach, an optimization algorithm such as Particle Swarm Optimization (PSO) is used to attain minimum error. The result shows that the filter performance is improved by using PSO tuning and gives optimized minimum error compared to conventional UKF under various machine operating conditions
{"title":"State Estimation of Induction Motors Using Particle Swarm Optimization Tuned Unscented Kalman Filter","authors":"Furzana John Basha, K. Somasundaram","doi":"10.1109/i-PACT44901.2019.8960153","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8960153","url":null,"abstract":"This paper deals with sensorless speed estimation of an Induction Motor with minimum mean square error. For sensorless speed estimation, Unscented Kalman Filter (UKF) is used. The performance of this filter depends on the process and the measurement noise covariance parameters of the estimator which estimates stator and rotor current, rotor flux, rotor speed, torque and it is also influenced by three scalar parameters such as alpha, beta, and kappa. As the selection of these values are not of a straight forward approach, an optimization algorithm such as Particle Swarm Optimization (PSO) is used to attain minimum error. The result shows that the filter performance is improved by using PSO tuning and gives optimized minimum error compared to conventional UKF under various machine operating conditions","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116129962","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8960010
S. Rm, S. P
Due to rapid increase in the population of India, the nation is at an urge to fulfil the needs of the entire population which has led to increase in urbanization, industrialization, deforestation, etc., that further has paved a way to increase in air pollution. Though the needs are fulfilled to some extent, the polluted air has a serious effect on the health of the human as well as the environment. This is the right time to walk through and understand the various sources of pollution, their effects on health of mankind and environment. This paper focusses on describing the various fundamental sources of air pollution, their threat towards the health of human and the guideline provided for those pollutants. We have also collected the concentration of the major air pollutants namely SO2, NO2 and Particulate Matter PM10 at various states of India using the monitoring stations’ data and a statistical analysis of the same is performed to identify the air quality index of the ambient air based on which the harmful effects are predicted. Also we have discussed the reality of the various sensors available for monitoring the concentration of air pollutants in the ambient air and the control measures that could be taken to reduce the concentration to safeguard the population from the threat.
{"title":"Statistical Analysis of Air Pollutants in Ambient Air, Reality of Sensors and Corrective Measures in India","authors":"S. Rm, S. P","doi":"10.1109/i-PACT44901.2019.8960010","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8960010","url":null,"abstract":"Due to rapid increase in the population of India, the nation is at an urge to fulfil the needs of the entire population which has led to increase in urbanization, industrialization, deforestation, etc., that further has paved a way to increase in air pollution. Though the needs are fulfilled to some extent, the polluted air has a serious effect on the health of the human as well as the environment. This is the right time to walk through and understand the various sources of pollution, their effects on health of mankind and environment. This paper focusses on describing the various fundamental sources of air pollution, their threat towards the health of human and the guideline provided for those pollutants. We have also collected the concentration of the major air pollutants namely SO2, NO2 and Particulate Matter PM10 at various states of India using the monitoring stations’ data and a statistical analysis of the same is performed to identify the air quality index of the ambient air based on which the harmful effects are predicted. Also we have discussed the reality of the various sensors available for monitoring the concentration of air pollutants in the ambient air and the control measures that could be taken to reduce the concentration to safeguard the population from the threat.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467365","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8960021
A. R. Kumar, A. Sivagami
In recent years several studies have been carried to explore the potential metrics of a mobile sink node to optimize the complex WSN routing and also to regulate the packet delivery rate among the sensor nodes. However, it has major limitations particularly in delay-bound applications, where all data gathered must be forwarded within a given time delay. These bound delays are dependent on the travelling path taken by the mobile sink. Here in order to regulate the mobile sink path a hybrid approach is proposed to address this challenge and also formulated new moving pattern where the mobile-sink node visits only rendezvous points (RPs), as opposed to travelling each nodes in WSN. Information from all other nodes all Sensor nodes that are not RPs forward their payload data via multi-hopping to the nearest RP. Then two basic fundamental problems are arises: computation of mobile sink travelling paths that can visit all RPs within a given time delay and conserving the energy consumption of mobile sink to improve the life time of the WSN. To address the first problem, a heuristic called adoptive rendezvous planning (WRP) is proposed, where each sensor node is assigned a priority corresponding to its hop distance from the mobile sink path taken and the traffic rate that forwards to the closest RP. And energy aware local routing is used for energy efficiency. Finally RP based mobile sink model is validated via extensive network simulation, and through simulation results we proved that proposed RP model allows mobile sink to gather all information within a given time while. Local routing for each RP node reduces energy consumption by 39% and increases network lifetime by 12%, as compared with all other state-of-the-art algorithms.
{"title":"Energy Aware Localized Routing in Rendezvous Point Based Mobile Sink Strategy for Wireless Sensor Networks","authors":"A. R. Kumar, A. Sivagami","doi":"10.1109/i-PACT44901.2019.8960021","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8960021","url":null,"abstract":"In recent years several studies have been carried to explore the potential metrics of a mobile sink node to optimize the complex WSN routing and also to regulate the packet delivery rate among the sensor nodes. However, it has major limitations particularly in delay-bound applications, where all data gathered must be forwarded within a given time delay. These bound delays are dependent on the travelling path taken by the mobile sink. Here in order to regulate the mobile sink path a hybrid approach is proposed to address this challenge and also formulated new moving pattern where the mobile-sink node visits only rendezvous points (RPs), as opposed to travelling each nodes in WSN. Information from all other nodes all Sensor nodes that are not RPs forward their payload data via multi-hopping to the nearest RP. Then two basic fundamental problems are arises: computation of mobile sink travelling paths that can visit all RPs within a given time delay and conserving the energy consumption of mobile sink to improve the life time of the WSN. To address the first problem, a heuristic called adoptive rendezvous planning (WRP) is proposed, where each sensor node is assigned a priority corresponding to its hop distance from the mobile sink path taken and the traffic rate that forwards to the closest RP. And energy aware local routing is used for energy efficiency. Finally RP based mobile sink model is validated via extensive network simulation, and through simulation results we proved that proposed RP model allows mobile sink to gather all information within a given time while. Local routing for each RP node reduces energy consumption by 39% and increases network lifetime by 12%, as compared with all other state-of-the-art algorithms.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124462026","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8960236
P. Padmavathi, S. Natarajan
This review article focuses on various proposed LED driver technologies and different converter topologies which will help to increase efficiency, reliability, and lifespan of lighting systems. These classifications of LED drivers are presented for the both AC and DC voltages and are described evidently. The different methods to balance the currents at the output side of the driver, its pros and cons are explained in detail. This paper gives a detailed overview about the various power conversions and different control strategies like electrolytic capacitor less, soft switching, PWM dimming, current balance techniques to enhance the performance of LED drivers. The main goal of this paper is to give correct awareness to choose suitable LED driver for various smart lighting applications.
{"title":"A Survey on Efficient Converter Driver Techniques for LED LIGHTING Applications","authors":"P. Padmavathi, S. Natarajan","doi":"10.1109/i-PACT44901.2019.8960236","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8960236","url":null,"abstract":"This review article focuses on various proposed LED driver technologies and different converter topologies which will help to increase efficiency, reliability, and lifespan of lighting systems. These classifications of LED drivers are presented for the both AC and DC voltages and are described evidently. The different methods to balance the currents at the output side of the driver, its pros and cons are explained in detail. This paper gives a detailed overview about the various power conversions and different control strategies like electrolytic capacitor less, soft switching, PWM dimming, current balance techniques to enhance the performance of LED drivers. The main goal of this paper is to give correct awareness to choose suitable LED driver for various smart lighting applications.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123270183","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8959994
R. Sarjila, K. Ravi, J. Belwin Edward, A. Manimegalai
This paper proposes a non-linear problem for the extraction of parameters in a solar photovoltaic system. As many of the optimization algorithms used so far does not work at the low irradiance level a novel approach of parameter extraction using a gravitational search algorithm is presented. At different irradiance level, different parameters of various PV panels are evaluated. The results and critical evaluation of MGSA optimization approach are then compared with genetic and gravitational search algorithms. The simulation MATLAB output confirms the suitability of the MGSA for parameter extraction of solar PV panels.
{"title":"Implementation of Modified Gravitational Search Algorithm for Solar Panel Parameters Extraction","authors":"R. Sarjila, K. Ravi, J. Belwin Edward, A. Manimegalai","doi":"10.1109/i-PACT44901.2019.8959994","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8959994","url":null,"abstract":"This paper proposes a non-linear problem for the extraction of parameters in a solar photovoltaic system. As many of the optimization algorithms used so far does not work at the low irradiance level a novel approach of parameter extraction using a gravitational search algorithm is presented. At different irradiance level, different parameters of various PV panels are evaluated. The results and critical evaluation of MGSA optimization approach are then compared with genetic and gravitational search algorithms. The simulation MATLAB output confirms the suitability of the MGSA for parameter extraction of solar PV panels.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125878188","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8960214
Shankar T, G. Eappen, Sonali Sahani, R. A, Mageshvaran R
In large scale wireless sensor networks, energy consumption and optimization are a major challenge. Most of the protocols designed for cluster based routing problems suffer from unbalanced energy consumption. In this research work, an energy efficient clustering and routing protocol has been devised. An improved cuckoo search algorithm which uses a novel multiobjective fitness function have been proposed for optimal cluster head selection. Further, Monkey search algorithm has been used to find the optimal path from the cluster head to the sink nodes. The algorithm has been compared with some existing metaheuristics and significant improvements in number of alive nodes, energy efficiency has been observed.
{"title":"Integrated Cuckoo and Monkey Search Algorithm for Energy Efficient Clustering in Wireless Sensor Networks","authors":"Shankar T, G. Eappen, Sonali Sahani, R. A, Mageshvaran R","doi":"10.1109/i-PACT44901.2019.8960214","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8960214","url":null,"abstract":"In large scale wireless sensor networks, energy consumption and optimization are a major challenge. Most of the protocols designed for cluster based routing problems suffer from unbalanced energy consumption. In this research work, an energy efficient clustering and routing protocol has been devised. An improved cuckoo search algorithm which uses a novel multiobjective fitness function have been proposed for optimal cluster head selection. Further, Monkey search algorithm has been used to find the optimal path from the cluster head to the sink nodes. The algorithm has been compared with some existing metaheuristics and significant improvements in number of alive nodes, energy efficiency has been observed.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129848751","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8960017
V. Vanitha, Delna Raphel, R. R
According to Central Electricity Regulatory Commission, India, all independent power producers should forecast their generation and submit a report regarding the same to RLDC (Regional Load dispatch Centre). If a deviation occurs between forecasted and actual generated power, the renewable energy operators should give penalty to RLDC. In the wind farm scenario, the wind farm operator should predict the wind power accurately to reduce the risk of uncertainty and penalties. To estimate the wind power precisely, the wind farm operators will depend on commercial forecasting methods. The selection of forecasting method is based on forecasting accuracy, system availability, Lead time etc. The aim of this work is to do wind power forecasting using hybrid VMD- ANFIS (Variational Mode Decomposition-Adaptive Neuro Fuzzy Inference System) in different time horizons. The power data for two years is obtained for a site in Maharashtra having 15 wind turbines, each having a capacity of 800kW. Three evaluation indices such as Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and % Revenue loss are calculated for one hour ahead and one day ahead forecasting and results are presented.
{"title":"Forecasting of Wind power using Variational Mode Decomposition-Adaptive Neuro Fuzzy Inference System","authors":"V. Vanitha, Delna Raphel, R. R","doi":"10.1109/i-PACT44901.2019.8960017","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8960017","url":null,"abstract":"According to Central Electricity Regulatory Commission, India, all independent power producers should forecast their generation and submit a report regarding the same to RLDC (Regional Load dispatch Centre). If a deviation occurs between forecasted and actual generated power, the renewable energy operators should give penalty to RLDC. In the wind farm scenario, the wind farm operator should predict the wind power accurately to reduce the risk of uncertainty and penalties. To estimate the wind power precisely, the wind farm operators will depend on commercial forecasting methods. The selection of forecasting method is based on forecasting accuracy, system availability, Lead time etc. The aim of this work is to do wind power forecasting using hybrid VMD- ANFIS (Variational Mode Decomposition-Adaptive Neuro Fuzzy Inference System) in different time horizons. The power data for two years is obtained for a site in Maharashtra having 15 wind turbines, each having a capacity of 800kW. Three evaluation indices such as Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and % Revenue loss are calculated for one hour ahead and one day ahead forecasting and results are presented.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128251515","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8960014
Pavana Gurudas Bhat, Disha R. Shetty, Jayasankar V N, V. U
The use of power electronic devices injects harmonics into the grid causing serious power quality problems. To limit the current harmonics in accordance with IEEE Std 519, Shunt Active Power Filter (SAPF) may be used. Instantaneous power theory (pq theory) is widely used for current harmonic mitigation in SAPF. The Low Pass Filter (LPF) is used in pq theory based controllers for fundamental component extraction. The drawbacks of LPF are additional phase delay at the fundamental frequency and presence of lower frequency oscillations. A dual Self-Tuning Filter based controller is proposed to overcome these limitations. The simulation studies under different system conditions are carried out using MATLAB/SIMULINK to verify the effectiveness of the proposed method. The hardware cosimulation using ZedBoard Zynq-7000 Development Board is carried out to validate the simulation results.
{"title":"Design and FPGA Implementation of Dual Self-Tuning Filter based Controller for Single Phase Shunt Active Filter","authors":"Pavana Gurudas Bhat, Disha R. Shetty, Jayasankar V N, V. U","doi":"10.1109/i-PACT44901.2019.8960014","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8960014","url":null,"abstract":"The use of power electronic devices injects harmonics into the grid causing serious power quality problems. To limit the current harmonics in accordance with IEEE Std 519, Shunt Active Power Filter (SAPF) may be used. Instantaneous power theory (pq theory) is widely used for current harmonic mitigation in SAPF. The Low Pass Filter (LPF) is used in pq theory based controllers for fundamental component extraction. The drawbacks of LPF are additional phase delay at the fundamental frequency and presence of lower frequency oscillations. A dual Self-Tuning Filter based controller is proposed to overcome these limitations. The simulation studies under different system conditions are carried out using MATLAB/SIMULINK to verify the effectiveness of the proposed method. The hardware cosimulation using ZedBoard Zynq-7000 Development Board is carried out to validate the simulation results.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128581295","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 : 2019-03-01DOI: 10.1109/i-PACT44901.2019.8960095
Uvais Mustafa, M. Saad bin Arif, Shahbaz Ahmad, M. Tariq, S. Ayob
In this paper comparative study of a recently proposed 5-Level T-Type Asymmetrical-H-Bridge (5-L-T-AHB) inverter is carried out for different modulation schemes based on PWM switching. The THD and the fundamental component of the output voltage for different modulation schemes at different frequencies is recorded and compared. The main advantage of high frequency PWM switching is that it reduces the THD in output current and voltages of a multi-level inverter. Matlab/Simulink is used for the simulation purpose. The results show that the variable frequency Phase-Opposite-Disposition PWM (PODPWM) modulation scheme based on triangular carrier wave have the minimum THD of 20.06% in voltage at unity modulation index. While the Third-Harmonic-Injected (THI) reference based PWM shows the highest THD of 25.97%. THI based PWM however, offers the highest fundamental component with 12% more output. Variation of THD and fundamental component is also seen for the varying modulation index (0.6-0.9). THD shows the decreasing trend while the fundamental component increases with increment in modulation index.
{"title":"Performance Evaluation of Modified 5-Level T-Type H-Bridge Inverter Utilizing Different PWM Modulation Schemes","authors":"Uvais Mustafa, M. Saad bin Arif, Shahbaz Ahmad, M. Tariq, S. Ayob","doi":"10.1109/i-PACT44901.2019.8960095","DOIUrl":"https://doi.org/10.1109/i-PACT44901.2019.8960095","url":null,"abstract":"In this paper comparative study of a recently proposed 5-Level T-Type Asymmetrical-H-Bridge (5-L-T-AHB) inverter is carried out for different modulation schemes based on PWM switching. The THD and the fundamental component of the output voltage for different modulation schemes at different frequencies is recorded and compared. The main advantage of high frequency PWM switching is that it reduces the THD in output current and voltages of a multi-level inverter. Matlab/Simulink is used for the simulation purpose. The results show that the variable frequency Phase-Opposite-Disposition PWM (PODPWM) modulation scheme based on triangular carrier wave have the minimum THD of 20.06% in voltage at unity modulation index. While the Third-Harmonic-Injected (THI) reference based PWM shows the highest THD of 25.97%. THI based PWM however, offers the highest fundamental component with 12% more output. Variation of THD and fundamental component is also seen for the varying modulation index (0.6-0.9). THD shows the decreasing trend while the fundamental component increases with increment in modulation index.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836796","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}
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