Tuning PID Controller Using Hybrid Genetic Algorithm Particle Swarm Optimization Method for AVR System

The proportional-integral-derivative (PID) controller is widely used in industrial applications, one of these important application is the Automatic Voltage Regulator (AVR), due to the necessity of using controller to avoid instability of the system. In our paper a comparison between algorithms Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) and Hybrid Genetic Algorithm Particle Swarm Optimization (HGAPSO) is proposed with their characteristics and performance analysis to find an optimum parameters of the PID controller, a new objective function is also proposed to take into account the relation between the performance criteria's.