The application of chaos genetic algorithm in the pid parameter optimization

With the development of computer technology and artificial intelligence in automatic control field, all kinds of parameters tuning methods of PID controller have emerged in endlessly, which bring much energy for the study of PID controller, but many advanced tuning methods behave not so perfect as to be expected. GA and chaos optimizing was integrated, by use of the chaos serial\´s property of "ergodicity, randomicity, regularity" to generate original population; adding chaotic fine search to genetic operation greatly improves the local search ability, which avoids local optimization and premature convergence in effect. The results of the simulation demonstrate that the chaos genetic algorithm has ideal and satisfied optimization result and much better than that of common genetic algorithm.