TORQUE CONTROL OF THREE-PHASE AFPMSM MOTOR BY PSO ALGORITHM OF PI PARAMETER OPTIMIZATION FOR ELECTRIC CARS APPLICATIONS

Abstract

This article proposes an enhanced torque controller solution for axial flux
permanent magnet synchronous motors (AFPMSM) utilizing the swarm
optimization algorithm (PSO) to optimize PI controller parameters for
automotive applications. Swarm optimization is an evolutionary algorithm
that leverages interactions among population individuals to explore a search
space. PSO is designed to seek the global optimum within a search space. The
outcomes of the PSO_PI torque controller have significantly enhanced the
noise response compared to the PI torque controller by adapting parameters
Kp, Ki based on electric vehicle operating conditions. The control solution's
efficacy in this study is validated through Matlab/Simulink simulations.