@Article{, title={Speed Control of DTC_SVM for Induction Motor By Using Genetic Algorithm-based PI Controller Speed Control of DTC_SVM for Induction Motor By Using Genetic Algorithm-based PI Controller}, author={Khearia A. Mohammad Khearia A. Mohammad and Rawaa Kadhim Sakran Rawaa Kadhim Sakran}, journal={University of Thi-Qar Journal for Engineering Sciences مجلة جامعة ذي قار للعلوم الهندسية}, volume={9}, number={2}, pages={17-28}, year={2018}, abstract={This work presents analysis of three-phase Induction Motor (IM) performance with Direct Torque Control based Space Vector Modulation (DTC-SVM). DTC-SVM scheme is a kind of high-performance control of IM drives to improve the ripples of torque and flux in steady state, this drawback of conventional DTC. (DTC-SVM) has three Proportional-Integral (PI) controllers, one utilized as the PI speed controller and other PI flux controller and PI torque controller which are utilized to produce the stator voltage reference V_ds and V_qs respectively. This paper offers a comparison among two methods utilized for tuning the PI speed controller in DTC_SVM of IM drive. One is trial and error method, while the second is Genetic Algorithms (GA). GA helps to get the optimal PI speed controller parameters. The results of a simulation carried out utilizing MATLAB/Simulink program (R2014a) show that the response of speed motor with GA is better and reaches to the reference value faster than another method.

This work presents analysis of three-phase Induction Motor (IM) performance with Direct Torque Control based Space Vector Modulation (DTC-SVM). DTC-SVM scheme is a kind of high-performance control of IM drives to improve the ripples of torque and flux in steady state, this drawback of conventional DTC. (DTC-SVM) has three Proportional-Integral (PI) controllers, one utilized as the PI speed controller and other PI flux controller and PI torque controller which are utilized to produce the stator voltage reference V_ds and V_qs respectively. This paper offers a comparison among two methods utilized for tuning the PI speed controller in DTC_SVM of IM drive. One is trial and error method, while the second is Genetic Algorithms (GA). GA helps to get the optimal PI speed controller parameters. The results of a simulation carried out utilizing MATLAB/Simulink program (R2014a) show that the response of speed motor with GA is better and reaches to the reference value faster than another method.} }