Study of Tuning of Pid Controller by Using Particle Swarm Optimization

Many areas in power systems require solving one or more nonlinear optimization problems. Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. This paper presents a detailed overview of the basic concepts of PSO and its variants. The proposed method utilizes the Particle Swarm Optimization (PSO) algorithm approach to generate the optimal tuning parameters. The paper deals with optimal tuning of proportional integral derivative (PID) controller for controlling the output obtained and hence to minimize the integral of absolute errors. The main objective is to obtain a stable, robust and controlled system by tuning the PID controller using Particle Swarm Optimization (PSO) algorithm. It is necessary to use PID controller to increase the stability and performance of the system. Fast tuning of optimum PID controller parameter yield high quality solution. This paper demonstrated in detail how to employ the PSO method to search efficiently the optimal PID controller parameters. The proposed approach had superior features, including easy implementation and good computational efficiency.