Design of a Fractional Order PID Controller Using Particle Swarm Optimization Technique

TL;DR

This paper presents a method for designing fractional order PID controllers using Particle Swarm Optimization, achieving better performance than traditional integer order controllers by optimizing based on peak overshoot and rise time specifications.

Contribution

It introduces a novel application of PSO for tuning fractional order PID controllers, improving their performance over conventional designs.

Findings

Optimized fractional order PID controllers outperform integer order counterparts.

The method effectively tunes controller parameters based on specified transient response criteria.

Results demonstrate improved control performance through the proposed optimization approach.

Abstract

Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In this paper, this optimization technique is used for designing fractional order PID controllers that give better performance than their integer order counterparts. Controller synthesis is based on required peak overshoot and rise time specifications. The characteristic equation is minimized to obtain an optimum set of controller parameters. Results show that this design method can effectively tune the parameters of the fractional order controller.