PID controller tuning using metaheuristic optimization algorithms for benchmark problems

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Gholap, Vishal^1 ; Dessai, Chaitali Naik^1 ; Bagyaveereswaran, V.^1

School of Electrical Engineering, VIT University, Vellore-Tamil Nadu

632014, India^1

关键词: Bench-mark problems;    Comparative studies;    Integral time absolute errors;    Meta-heuristic optimizations;    Number of iterations;    Pid controller tuning;    Simulated annealing algorithms;    Time-domain specifications;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/5/052021/pdf
DOI  :  10.1088/1757-899X/263/5/052021

来源: IOP

【 摘 要 】

This paper contributes to find the optimal PID controller parameters using particle swarm optimization (PSO), Genetic Algorithm (GA) and Simulated Annealing (SA) algorithm. The algorithms were developed through simulation of chemical process and electrical system and the PID controller is tuned. Here, two different fitness functions such as Integral Time Absolute Error and Time domain Specifications were chosen and applied on PSO, GA and SA while tuning the controller. The proposed Algorithms are implemented on two benchmark problems of coupled tank system and DC motor. Finally, comparative study has been done with different algorithms based on best cost, number of iterations and different objective functions. The closed loop process response for each set of tuned parameters is plotted for each system with each fitness function.