PID controller parameters optimization for the main steam temperature system based on immune algorithm-particle swarm optimization

In this paper, PID control model was set up for the main steam temperature control system of modern large-scale power plant, combined the immune algorithm and particle swarm optimization, and improved by adding adaptive crossover and adaptive mutation. It is optimized the main steam temperature control system which in typical load conditions with the improved algorithm. By comparison with the traditional genetic algorithm shows, this algorithm has certain advantages on convergence and robustness.