Performance Improvement of Vector Control Permanent Magnet Synchronous Motor Drive Using Genetic Algorithm-Based PI Controller Design

The proposed work presents an improved performance of vector control PMSM drive using PI controllers, and each controller parameter is tuning with genetic algorithm-based optimization technique. The ability to work well of a drive system for variable speed and load in closed-loop system depends on controller's performance. The working performance of controllers depends on its gain parameter; hence, the genetic algorithm-based optimization technique gives a unique value of each controller gain parameters for sudden change in speed and load. These properties of controllers improved the working performance of drive system. The proposed work had been developed in MATLAB/Simulink environment for variable speed and load, and it had been seen that from output response the proposed work greatly improved the settling time, THD in stator current, supply voltage profile and performance of overall drive system.