Multiobjective optimisation by PSO for Switched Reluctance Motor (SRM) drive

Switched Reluctance Motor (SRM), which has many advantages like Induction machine exhibits very nonlinear characteristics and high torque ripple, the only disadvantages of this machine. Its torque ripple is dependent on the current profile and also on the turn on and turns off angle of phase excitation and the speed is dependent on the current command. This work presents one of the Heuristic approaches like Particle Swarm optimization (PSO) to determine the optimum proportional-integral (PI) controller parameters and turn on and turn off angles, for minimum torque ripple with optimum torque profile SRM drive. These offline tuning methods are implemented for the model of a SRM in MATLAB. It has been observed that by optimizing the controller parameters of a SRM drive with PSO the performance of the controller is improved.