Intelligent PID Controller Tuning Using PSO for Linear System

In chemical industries in mid 90’s, process engineers were using the classical controller tuning methods to find the controller parameter values like Kp, Ki ,and Kd. The classical controller tuning methods may require complex computations to identify the controller parameters. With the evolution of soft computing methods these classical control methods were eliminated. This paper focus on design method for determining the optimal proportional-integral-derivative (PID) controller parameters of linear system using the particle swarm optimization (PSO) algorithm. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency. At first genetic algorithm (GA) of automatic voltage regulator(AVR) setting is designed and compared with PSO based PID controller settings. The proposed method has more robust stability and efficiency, and can solve the searching and tuning problems of PID controller parameters more easily and quickly than the GA method.