Genetic Algorithm based PID Tuning Software Design and Implementation for a DC Motor Control System

Authors : Zafer ORTATEPE

Pages : 286-300

Doi:10.54287/gujsa.1342905

View : 126 | Download : 73

Publication Date : 2023-09-29

Article Type : Research Paper

Abstract :This study presents the software and implementation for proportional-integral-derivative insert ignore into journalissuearticles values(PID); tuning of a DC motor control system using genetic algorithm insert ignore into journalissuearticles values(GA);. The PID parameters for a specific control structure are optimized using GA in the proposed tuning procedure. Also, integral time absolute error insert ignore into journalissuearticles values(ITAE); is used as a fitness function to optimize the parameters. The robustness of the control system is compared with conventional mathematical method. Simulations are carried out in MATLAB/Simulink to compare the results of a DC motor control system. Simulation results show that in terms of overshoot, steady-state error, and settling time, GA-based PID tuning approach performed better than conventional method. Additionally, a sensitivity analysis is performed to evaluate how robust the proposed approach is to parameter variations. The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.
Keywords : DC Motor, Genetic Algorithm, PID Tuning