大惯性对象控制器参数寻优的目标函数研究

摘要

The optimisation of parameters for PIO controller used for large inertia controller object by adopting traditional objective function features excessive overshoot, long settling time and lack of flexibility for different objects. To overcome these demerits, based on optimal control theories, and combines with many simulation experiments of optimising parameters by genetic algorithm with different objective functions under Matlab environment, the variable weight synthesizing objective function that is suitable for large inertia object to optimise parameters of controller is proposed. The simulation experiments verify that such objective function offers better flexibility, and the parameters it obtains are more superior to those from traditional objective functions.%传统目标函数在大惯性被控对象PID控制器参数寻优过程中存在超调量过大、调节时间过长且对不同对象缺乏灵活性等问题.基于最优控制理论,并结合Matlab环境中对其参数进行不同目标函数的遗传算法寻优的大量仿真试验,提出了一种适用于大惯性对象控制器参数寻优的变权综合型的目标函数.通过仿真试验,证明了变权综合型的目标函数具有比较好的灵活性,且其寻得的参数明显优于传统目标函数.