Methods for Effective Speed Control of DC Shunt Motor-Part 2: Fuzzy Logic-Based PID Controller Tuning Method

Abstract

AbstractPID controller is used in applications like motor speed control, liquid level control, temperature control, etc. It works well in both closed-loop and open-loop system configurations. To set gain parameters in the PID controller, the main issue is with the computation of gain parameters in offline mode. So, the controller may not be adjusted itself when deployed online. The disturbance that occurs in a system is spontaneous, thereby the PID gain parameters should be adjusted in tune with the disturbance online. So, the online mode of controller tuning has become popular. Artificial intelligence (AI)-based logical techniques like fuzzy logic, neural networks, and genetic algorithm-based methods have gained prominence in the process of tuning the gain parameters of a PID controller. There is a provision to train the controller in presence of disturbance and hence a better disturbance rejection can be obtained. In the present work, the fuzzy logic is used for tuning the gain parameters of the PID controller adaptively to control a DC shunt motor. From the time domain characteristics, it can be concluded that the controller tuned using fuzzy logic which performs better when compared to a controller tuned using conventional tuning methods.KeywordsPID controllerFuzzy logicSpeed controlController tuningTime domain performanceDC shunt motor