Comparison of Speed Control of DC Motor in Real Time Using Conventional and Nonconventional Methods

This paper illustrates the design and implementation of the speed control of DC motor in real time using Matlab and Arduino Due board with conventional and nonconventional methods. In the conventional technique, the PID controller is implemented using two different modeling approaches, viz., first principles modeling and data-driven modeling. In nonconventional techniques, an inverse neural network controller is trained with three layers using backpropagation algorithm, concurrent relay-based PID controller consists of a parallel PID controller with dead band relay, and a neuro-fuzzy controller is designed and implemented using the adaptive neuro-fuzzy interface system. The responses of simulation and in real time of closed-loop speed control of DC motor are presented. A comparative study of time response characteristics analysis has been carried out and observed that the performance of the ANFIS controller performs better control than other control methods used in this paper.