Genetic algorithm based speed controller design of IPMSM drive for EV

In recent years, the development of the electrical vehicle (EV) in particular the performance enhancement of speed control has been widely attention. To ensure fast dynamic response and stable operation, the design of speed controller is critical and requires considerable effort. This paper proposes an automated design employed genetic algorithm (GA) to optimize PI speed controller of interior permanent magnet synchronous motor (IPMSM) used in the EV. The drive control system is designed on the basis of vector control scheme incorporated with the maximum torque per ampere (MTPA) control strategy to improve the drive performance. The optimization method provides an optimum solution in terms of both speed response and steady-state error. The simulation results verify the effectiveness of the proposed approach.