Electric Vehicle Speed Control using Self-adaptive PI Gains using PSO

Abstract

Permanent-magnet synchronous motor (PMSM) hasthe capabilityto produceefficient performance with high torque/current and power/weight ratios. Therefore PMSM has been used in a wide range of modern variable speed AC drives such as electric vehicle (EV) applications.Because of the high nonlinearity of PMSM system modelling, the gains of PI controller have significant effects on the performance during different operating points.In this study, particle swarm optimization (PSO) technique is used to specify the optimal PI controller's gains for a wide range of operation. A comparison between fixed and variable gains is investigated. The optimal results are used to map the PI controller's gains at variable operating load speed and torque using mathematical surface fitting tool for online gains adaptation. The proposed methodology is applied on the EV as a case study at different driving cycles.