DC motor speed control using PID controller tuned by jaya optimization algorithm

Abstract

Direct current (DC) motor plays an important role in industries to convert energy from electrical to mechanical. The speed of DC motor is important in the process control industries so we have to control the speed of DC motor. For this speed control proportional-integral-derivative (PID) controllers are used. For better performance and optimum parameters, PID tuning is used. Traditional tuning techniques for classical PID controller suffer from many disadvantages like non-customized performance measure and insufficient process information. In this paper, we use the Jaya optimization algorithm (JOA) for better performance in speed control and time response of the system. Experimental results are presented to study the performance of JOA based PID controller in comparison with particle swarm optimization (PSO) based PID controller. Practical validation is done on QNET 2.0 DC motor by using LabVIEW <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> software.