The use of genetic algorithms for speed and current controller designs for IPMSM drive

Recently, speed and current controller have been developed for interior permanent magnet synchronous motor (IPMSM). Each method has its own advantage and limitation. However, in the commercial drive system, the controller should be easy to set up and tune in particular for operator, therefore the classical proportional plus integral (PI) controller has widely used due to its simple structure while achieving zero steady-state error. However finding out the parameters of the controller is not any easy task because of complex dynamics of IPMSM. For this reason, this paper presents a novel automated design employed genetic algorithm (GA) to optimize PI speed and current controller of IPMSM. 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. Simulation and experimental results verify the effectiveness of the proposed method.