A Genetic Algorithm Based Approach for Tuning PID Controller Parameters for Speed Control of a Permanent DC Motor Considering First Order Time Delay
Authors: Ero EO, Obayuwana A
The paper presents a genetic algorithm (GA) based approach for turning proportional integral derivative (PID) controller for a permanent magnet direct current (PMDC) motor considering first order time delay. The main objective was to obtain PID controller gain values that would provide better system response. The model of the PMDC was considered as a second order system. The integral square error (ISE) objective function was chosen for the genetic algorithm (GA) optimization, and it was employed in such a way that system performance criteria such as rise time, settling time, and overshoot were minimized. The system step response using GA based PID controller was compared with that of the conventional Ziegler-Nichols method for turning PID controllers. It was observed that the proposed GA PID controller gain values provided better system performance compared to the Ziegler- Nichols method. The proposed method could be applied to both linear and non-linear system models.
Affiliations: Department of Computer Engineering, University of Benin, Benin City, Nigeria.
Keywords: DC Motor, PID Controller, GA-PID, GA-PI, Ziegler-Nichols, PID Tuning
Published date: 2019/06/30