关键词: PID控制, 混沌, 免疫遗传算法, 参数优化

Abstract: According to the shortcoming of slow speed of PID parameters by using the traditional immune genetic algorithm，an intelligent PID parameters tuning method is designed through using the ideas of chaotic proliferation and the isolation niche technology，combining the characteristics of immune genetic algorithm.This method can be more effective in regional and local convergence and can jump out at a faster speed to the global optimum value of convergence，thereby better to deal with the problem that a genetic algorithm is usually encountered in the“premature” through using the sensitivity，randomness，periodicity and regularity of the proliferation of chaos to the initial value；and it not only makes the evolution of sub-population relate closely to the evolution of the entire-population，but also keeps the independence of its own evolution by adopting Niche separation technology，which is conducive to maintain the diversity of individual stocks.Adopting this method to optimize the PID parameters，the result shows that the algorithm can remarkably improve the convergence performance and search efficiency of the immune genetic algorithm.

Key words: PID control, chaotic, immune genetic algorithm, parameter optimization