A Comparison of conventional and nonconventional methods of DC motor speed control

In this paper we study the speed control of a DC motor with conventional (PID) and nonconventional (Neural Network – NN) methods. DC motor model and performance indicators criteria are defined. PID controller is tuned through Matlab scripting and tools and relevant results of closed loops system are received. For nonconventional method inverse model control schema is used, where a three layer NN presents the inverse model, and it is trained by back propagation algorithm. Simulation results are presented to compare the two control methods and conclude the benefits of NN usage in control. Considering the broad range of DC motor usage, where robotics is included, the study is presented as a way for improving the closed system's dynamics.