fa A Neural Network-PSO Based Control for Brushless DC Motors for Minimizing Commutation Torque Ripple قدرت Power پژوهشي Research <p>This paper presents the method of reducing torque ripple of brushless DC (BLDC) motor. The commutation<br> torque ripple is reduced by control of the DC link voltage during the commutation time. The magnitude of<br> voltage and commutation time is estimated by a neural network and optimized with an optimization method<br> named particle swarm optimization (PSO) algorithm analysis. The goal of optimization is to minimize the error<br> between the command torque and real torque and doesn&rsquo;t need knowledge of the conduction interval of the three<br> phases. It adaptively adjusts the DC link voltage in commutation duration so that commutation torque ripple is<br> effectively reduced. In this paper, the performance of the proposed brushless DC (BLDC) control is compared<br> with that of conventional BLDC drives without input voltage control.</p> <p>This paper presents the method of reducing torque ripple of brushless DC (BLDC) motor. The commutation<br> torque ripple is reduced by control of the DC link voltage during the commutation time. The magnitude of<br> voltage and commutation time is estimated by a neural network and optimized with an optimization method<br> named particle swarm optimization (PSO) algorithm analysis. The goal of optimization is to minimize the error<br> between the command torque and real torque and doesn&rsquo;t need knowledge of the conduction interval of the three<br> phases. It adaptively adjusts the DC link voltage in commutation duration so that commutation torque ripple is<br> effectively reduced. In this paper, the performance of the proposed brushless DC (BLDC) control is compared<br> with that of conventional BLDC drives without input voltage control.</p> BLDC machines, Commutation, Optimized input voltage, Torque ripple BLDC machines, Commutation, Optimized input voltage, Torque ripple 15 22 http://jiaeee.com/browse.php?a_code=A-10-1-153&slc_lang=fa&sid=1 M. Aghashabani M. Aghashabani 1003194753284600569 1003194753284600569 Yes J. Milimonfared Milimonfared 1003194753284600570 1003194753284600570 No A. Kashefi Kaviani A. Kashefi Kaviani 1003194753284600571 1003194753284600571 No M. Ashabani M. Ashabani 1003194753284600572 1003194753284600572 No