基于Monte-Carlo方法的自抗扰控制系统优化设计  

Optimistic Design of Auto-Disturbance Rejection Control System Based on Monte-Carlo Method

作　　者：老大中[1] 刘艳芬[1] 李东海[2] 唐多元[2] 

机构地区：[1]北京理工大学机电工程学院,北京100081 [2]清华大学热能工程系,北京100084

出　　处：《北京理工大学学报》2004年第3期226-229,共4页Transactions of Beijing Institute of Technology

摘　　要：针对一类含有不确定性的状态可测的单变量非线性对象,应用Monte-Carlo方法,研究自抗扰控制系统扩张状态观测器的优化设计问题,并对自抗扰控制系统的性能鲁棒性进行定量研究.仿真结果证明利用Monte-Carlo试验对自抗扰控制系统优化的方法不仅计算简便、可操作性强,而且还进一步提高了系统的性能鲁棒性和适应性.Considering a class of uncertain, state-observed, and single-variable nonlinear plants, the Monte-Carlo method is proposed for the optimization of auto-disturbance rejection control (ADRC) system. Under the premise of optimum desired dynamic equation, the extended state observer (ESO) is selected under the condition of controlled ITAE index being the optimum. Meanwhile, it has been proved that the optimized ADRC system conducts a better performance robustness and adaptability by using the Monte-Carlo method.

关 键 词：MONTE-CARLO方法 自抗扰控制 扩张状态观测器 性能鲁棒性 

分 类 号：O23[理学—运筹学与控制论] O29[理学—数学]