Speed Control of PMDC Motor based on Online Neural-PID Controller

In terms of torque and speed capabilities, PMDC motors exhibit exceptional performance at cost of some load-related disturbances like the presence of high-power ripples and the nonlinear nature of the magnetic circuit. However, conventional linear controllers may be inadequate for superior performance. Therefore, modern neural PID controllers are used as the basis for developing an intelligent online closed-loop speed control to achieve the best motor operating characteristics. In this paper, a PID controller is designed for efficient PMDC motor speed control compared with the existing DC motor speed methods. Furthermore, the initial controller parameters are modified based on neural network optimization techniques to achieved the fastest speed. This will have a potential impact on the industrial applications of the PMDC motors.