基于混沌的自适应模糊PID参数寻优研究(英文)

Study on Adaptive Fuzzy PID Parameters Optimization Based on Chaos

针对自适应模糊PID控制器提出了一种基于混沌变量的优化算法。首先,利用混沌运动的遍历性特性,基于混沌优化方法进行PID控制器设计。在系统稳定的条件下,通过粗调和精确搜索可以找到具有最小参数的最佳控制器。这些参数被用来作为自适应模糊PID控制器的最佳参数。然后,按照自适应模糊控制方法,控制律及其参数可以被确定。仿真实验结果显示,该方法能够达到所要求的指标,其有效性得到了证明。

An optimization algorithm design based on chaotic variable was proposed for adaptive fuzzy PID controller. First, by using the property of chaos ergodicity, a PID controller based on chaos optimization was designed. On the condition of stability, the most excellent parameters could be found with the least performance index by both cursory and precision precise search. These parameters were utilized as the most excellent parameters of the adaptive fuzzy PID controller. Second, according to the adaptive fuzzy method, the control rules and its parameters were determined. By this way, the simulation results show that this control method can be confirmed and reach required production target.