Optimal Speed Control System of Generator Based on Chaotic Particle Swarm Optimization

In view of real-time and operational requirements of the speed control system for generating, the method of determining the traditional PID control parameters seriously affected by the operator due to the use of the experience, not accurate enough. This paper proposed chaotic particle swarm optimization (PSO) and adjustment methods based on the traditional PID in the electro-hydraulic control, establish the state equation of the speed control system, and thus to design generator speed control system based on chaotic particle swarm optimization algorithm. The simulation experiments show that the regulator has better robustness and real-time compared to the traditional PID control method, and can provide optimal control in the light of the different types of the running point and the interference.