Paper
Commutation Torque Ripple Minimization in Brushless DC Motor by Genetic Algorithm (GA) Based PI-Controller
- Authors:
- Mallela Rajesh Babu; P.S.V. Kishore; Yannam Ravi Sankar
- Abstract
- In this paper, a pulsation current optimization control method is proposed for reducing torque ripple in brushless dc drives using Genetic Algorithm based Proportional Integral control (GA-PI). In general torque ripple occur due to pulsation current and input voltage in the brushless dc drive during commutation intervals. This torque ripple is function of the input voltage which is applied to the electronic commutation circuit in the brushless dc drive. Based on this, a novel control method has been proposed to reduce the torque ripple during the commutation intervals. With this method, the pulsation current is controlled by employing GA-PI to reduce the torque ripple by controlling the input voltage during the commutation intervals. The proposed method primarily reduced the torque ripple in comparison to conventional methods during commutation intervals. Simulation results are presented to validate the proposed method in comparison with the conventional methods.
- Keywords
- Brushless DC Motor; Current Ripple; Torque Ripple; Genetic Algorithm (GA); Z-N Method; PI Controller; Percentage of Ripples; Ripples Per Second (RPS);Maximum Peak Overshoot
- StartPage
- 20
- EndPage
- 31
- Doi
- 10.18005/JCSE0401003