PID parameter optimization using improved genetic algorithm

In order to improve the problem of premature and performance of optimization,a hybrid algorithm of particle swarm optimization and genetic algorithm is proposed for parameters optimization of PID controller by applying particle swarm optimization to the mutation operation of genetic algorithm.The simulation and experimental results show that the novel algorithm is superior to simple genetic algorithm,can overcome premature phenomena,reduce the influence of random initial population,and improve the convergence precision,which demonstrates the proposed method has better performance of convergence and fine ability of global optimization.