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基于Monte-Carlo实验研究了非线性鲁棒控制器(NRC)参数整定的规律。介绍了针对单变量非线性对象的NRC控制器设计方法,提出了一种以Monte-Carlo实验原理为基础的NRC参数整定规律研究方法。该方法以ITAE值和系统超调量为控制器性能指标,主要分析NRC参数取值变化对控制系统鲁棒性的影响。以若干典型单变量非线性对象为例进行仿真研究,并在大量仿真试验结果的基础上,总结出NRC控制器参数整定的规律。
Based on the Monte-Carlo experiment, the parameters of nonlinear robust controller (NRC) tuning are studied. The design method of NRC controller for univariate nonlinear objects is introduced. A research method of NRC parameter tuning based on Monte-Carlo experimental principle is proposed. The method takes ITAE value and system overshoot as controller performance indexes, and mainly analyzes the influence of the change of NRC parameter value on the robustness of the control system. Taking several typical univariate nonlinear objects as examples, the simulation research is carried out. Based on a large number of simulation results, the law of parameter setting of NRC controller is summarized.