基于Monte-Carlo实验的NRC参数整定规律研究

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。

Study on NRC Tuning Rule by Monte-Carlo Simulation

The Monte-Carlo method was proposed for the research on parameter tuning rule of Nonlinear Robust Controller (NRC). NRC design method for a class of single-variable nonlinear plants was briefly introduced, and the research scheme for NRC tuning rule was provided. The scheme made ITAE index and overshoot as the control performance criteria, and the relation was analyzed between parameters and robustness of the control system. Taking several typical single-variable nonlinear plants as examples, simulation research was made. Based on the results, the tuning rule of NRC parameters was concluded.