Optimal Design of a Variable Coefficient Fractional Order PID Controller by using Heuristic Optimization Algorithms

Abstract: This paper deals with an optimal design of a new type Variable coefficient Fractional Order PID (V-FOPID) controller by using heuristic optimization algorithms. Although many studies have mainly paid attention to correct the performance of the system’s transient and steady state responses together, few studies are interested in both transient and steady state performances separately. It is obvious that handling these two cases independently will bring out a better control response. However, there are no studies using different controller parameters for the transient and steady state responses of the system in fractional order control systems. The major contribution of the paper is to fill this gap by presenting a novel approach. To justify the claimed efficiency of the proposed V-FOPID controller, variable coefficient controllers and classical ones are tested through a set of simulations which is about controlling of an Automatic Voltage Regulator (AVR) system. According to the obtained results, first of all it was observed that proposed V-FOPID controller has superiority to the classical PID, Variable coefficient PID (V-PID) and classical Fractional Order PID (FOPID) controllers. Secondly, Particle Swarm Optimization (PSO) algorithm has shown its advantage compared to the Artificial Immune System (AIS) algorithm for the controller design.

Omer Aydogdu and Mehmet Korkmaz. “Optimal Design of a Variable Coefficient Fractional Order PID Controller by using Heuristic Optimization Algorithms”. International Journal of Advanced Computer Science and Applications (IJACSA) 10.3 (2019). http://dx.doi.org/10.14569/IJACSA.2019.0100341

@article{Aydogdu2019,
title = {Optimal Design of a Variable Coefficient Fractional Order PID Controller by using Heuristic Optimization Algorithms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100341},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100341},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {3},
author = {Omer Aydogdu and Mehmet Korkmaz}
}