A Simulation Study of Parallel Particle Swarm Optimization Algorithm for Proportional Integral Derivative Controller Tuning

Abstract

In this paper, proportional integral derivative (PID) controller is tuned with the help of particle swarm optimization algorithm (PSO) and parallel PSO (PPSO). To evaluate the system complexity and process speed, the testing on Rosenbrock, Rastrigrin and Griewank functions is also performed. The aim behind implementation of PPSO is improving the efficiency, running time and robustness of the system. Nyquist plot, Bode plot, Root locus and Nicholas chart are drawn for evaluating the system parameters such as peak amplitude, bandwidth, relative stability; gain margin, phase margin, gain value, stability and robustness of the system along with the running time.