Tuning of MIMO PID Controller Using HCLPSO Algorithm

In this paper, the heterogeneous comprehensive learning particle swarm optimization is proposed for the tuning of multivariable proportional integral derivative (PID) for Wood and Berry system. This simulation work is done for both the decentralized and centralized PID controller. For comparison, results from the tuning of multivariable PID controller by particle swarm optimization (PSO) algorithm is considered. Here, our objective is to minimize the integral absolute error (IAE) value of the system. For the simulation of the system and algorithm, MATLAB/SIMULINK software is used. Statistical performance of evolutionary algorithms such as best value, mean value, and standard deviation are going to be evaluated based on ten independent initial conditions. In this work, it is observed that HCLPSO give more consistent performance compared to PSO algorithm.