Speed and Current Controllers Design of BLDC Motor Using SNR Optimization Technique

In this paper, a novel tuning technique for the current and speed controllers of the Brushless DC (BLDC) motor derive system is presented. The parameters of PI controllers in the inner current control loop and outer speed control loop which vary with the operating conditions such as variation of temperature and saturation phenomena or load torque changing of the drive are adjusted in order to maintain deadbeat response for speed and current of motor. A Signal-toNoise Ratio (SNR) optimization technique is employed in this study to obtain optimal parameters of PI controllers. Results of the proposed technique are compared with the response of Particle Swarm Optimization (PSO) technique. Simulation results show that the proposed optimized PI controllers improves significantly the dynamical performances of the motor derive system such as settling time and overshoot against parametric uncertainties. Also, it is superior to the designed controller using PSO method one.