遗传算法在PID自适应控制中的应用

Tuning and Optimization of PID Parameters

针对传统遗传算法的局限性，提出了一种新型的遗传算法。在算法上有很多改进，比如：保护最优个体。采用新型的交叉和变异操作。用Madab做仿真试验，试验结果证明新型的遗传算法有良好的动态性能。另外，解决了传统遗传算法中的一些不足．提高了优化的精确度和收敛性能。

Aiming at the deficiency and limitation of general genetic algorithm （GA）, a new GA for parameter optimization of PID controller is proposed, The new GA has many improvements in algorithm like protecting the best individual, accepting immigrations as well as employing adaptive crossover and mutation operators. The result of Matlab simulation shows that the PID controller designed up on the new GA has a good dynamic quality and ability, Moreover, It resolves the deficiency in the course of general GA optimizing parameters of PID controller, improves optimization precision and convergence performance.