Artificial Intelligent Based Controllers and IMC-PID Controller for Brushless DC Motor Speed Control in Hybrid Electric Vehicle

The Brushless DC (BLDC) motors are more effective and potentially recognized in Hybrid Electric Vehicle (HEV) applications due to the several advantages entailed such as simple control, high speed operation, no sparking, rugged construction, less maintenance, high reliability, low noise, high powered density and high efficiency unlike other kind of motors that are difficult to used because of their fixed speed characteristics. The presence of mechanical commutation, high energy losses and non-linearity of the BLDC motor parameters makes it difficult to achieve a satisfactory speed control performance using convectional controllers of Proportional Integral (PI), Proportional Derivative (PD) and Proportional Integral Derivatives (PID) controllers. Therefore, this work proposed an Internal Model Controller (IMC) based PID controller for controlling the BLDC motor speed control. IMC is employed to enhance the performance of PID controller for a better minimization of the steady state speed error, rise time, settling time and overshoot percentage. Bode plot; Nyquist plot and Root Locus plot were used to determine the motor stability and its frequency responses. Hence, the significant factors derived from BLDC speed control using IMCPID controller is to gives a satisfactory speed control performance, provide smooth throttle movement, zero steady state speed error and maintained a selected vehicle speed under different operating condition