DTC-SVM based on PI torque and PI flux controllers to achieve high performance of induction motor
The fundamental idea of direct torque control of induction machines is investigated in order to emphasize the property produced by a given voltage vector on stator flux and torque variations. The proposed control system is based on Space Vector Modulation (SVM) of electrical machines, Improvement mo...
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my.uniten.dspace-57882018-02-09T00:59:50Z DTC-SVM based on PI torque and PI flux controllers to achieve high performance of induction motor Rashag, H.F. Tan, N.M.L. Koh, S.P. Abdalla, A.N. Chong, K.H. Tiong, S.K. The fundamental idea of direct torque control of induction machines is investigated in order to emphasize the property produced by a given voltage vector on stator flux and torque variations. The proposed control system is based on Space Vector Modulation (SVM) of electrical machines, Improvement model reference adaptive system, real time of stator resistance and estimation of stator flux. The purpose of this control is to minimize electromagnetic torque and flux ripple and minimizing distortion of stator current. In this proposed method, PI torque and PI flux controller are designed to achieve estimated torque and flux with good tracking and fast response with reference torque and there is no steady state error. In addition, design of PI torque and PI flux controller are used to optimize voltages in d-q reference frame that applied to SVM. The simulation Results of proposed DTC-SVM have complete excellent performance in steady and transient states as compared with classical DTC-SVM. © Maxwell Scientific Organization, 2014. 2017-12-08T07:26:11Z 2017-12-08T07:26:11Z 2014 Article https://www.scopus.com/record/display.uri?eid=2-s2.0-84891296223&origin=resultslist&sort=plf-f&src=s&sid=18113d66b4cbaf31826cebad70df5e74&sot en_US Research Journal of Applied Sciences, Engineering and Technology Volume 7, Issue 4, 2014, Pages 875-891 |
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The fundamental idea of direct torque control of induction machines is investigated in order to emphasize the property produced by a given voltage vector on stator flux and torque variations. The proposed control system is based on Space Vector Modulation (SVM) of electrical machines, Improvement model reference adaptive system, real time of stator resistance and estimation of stator flux. The purpose of this control is to minimize electromagnetic torque and flux ripple and minimizing distortion of stator current. In this proposed method, PI torque and PI flux controller are designed to achieve estimated torque and flux with good tracking and fast response with reference torque and there is no steady state error. In addition, design of PI torque and PI flux controller are used to optimize voltages in d-q reference frame that applied to SVM. The simulation Results of proposed DTC-SVM have complete excellent performance in steady and transient states as compared with classical DTC-SVM. © Maxwell Scientific Organization, 2014. |
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Article |
author |
Rashag, H.F. Tan, N.M.L. Koh, S.P. Abdalla, A.N. Chong, K.H. Tiong, S.K. |
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Rashag, H.F. Tan, N.M.L. Koh, S.P. Abdalla, A.N. Chong, K.H. Tiong, S.K. DTC-SVM based on PI torque and PI flux controllers to achieve high performance of induction motor |
author_facet |
Rashag, H.F. Tan, N.M.L. Koh, S.P. Abdalla, A.N. Chong, K.H. Tiong, S.K. |
author_sort |
Rashag, H.F. |
title |
DTC-SVM based on PI torque and PI flux controllers to achieve high performance of induction motor |
title_short |
DTC-SVM based on PI torque and PI flux controllers to achieve high performance of induction motor |
title_full |
DTC-SVM based on PI torque and PI flux controllers to achieve high performance of induction motor |
title_fullStr |
DTC-SVM based on PI torque and PI flux controllers to achieve high performance of induction motor |
title_full_unstemmed |
DTC-SVM based on PI torque and PI flux controllers to achieve high performance of induction motor |
title_sort |
dtc-svm based on pi torque and pi flux controllers to achieve high performance of induction motor |
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2017 |
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1644493775595110400 |
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13.222552 |