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一类非线性参数化系统的自适应鲁棒控制
引用本文:吕帅,苏宏业,柳向斌,刘之涛.一类非线性参数化系统的自适应鲁棒控制[J].控制理论与应用,2012,29(10):1353-1360.
作者姓名:吕帅  苏宏业  柳向斌  刘之涛
作者单位:1. 浙江大学工业技术国家重点实验室智能系统与控制研究所,浙江杭州,310027
2. 北京交通大学电子信息工程学院先进控制系统研究所.北京100044
基金项目:国家自然科学重点基金资助项目(61134007); 国家自然科学基金资助项目(61040050); 中央高校基本科研业务费专项资金资助项目(2011JBM008); 工业控制技术国家重点实验室开放课题资助项目(ICT1114); 浙江省自然科学基金资助项目(LY12F03019).
摘    要:针对一类含有非线性参数化不确定项的非线性系统,本文提出了一种基于浸入和不变流形的自适应鲁棒控制器.由于浸入和不变流形方法将调节函数引入到参数估计律的设计中,增加了控制器设计自由度,保证对系统中未知参数的渐近估计,使得设计出的自适应鲁棒控制器在克服非线性参数化不确定项和外界扰动影响的同时,保证了良好的动态和稳态性能.最后通过仿真实例验证了所提算法的有效性.

关 键 词:非线性系统  自适应控制  鲁棒控制  浸入和不变流形
收稿时间:2011/9/27 0:00:00
修稿时间:4/6/2012 12:00:00 AM

Adaptive robust control for a class of nonlinearly parameterized systems
LV Shuai,SU Hong-ye,LIU Xiang-bin and LIU Zhi-tao.Adaptive robust control for a class of nonlinearly parameterized systems[J].Control Theory & Applications,2012,29(10):1353-1360.
Authors:LV Shuai  SU Hong-ye  LIU Xiang-bin and LIU Zhi-tao
Affiliation:National Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University,National Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University,School of Electronic and Information Engineering, Advanced Control System Laboratory, Beijing Jiaotong University,National Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University
Abstract:An adaptive robust controller based on immersion and invariance (I&I) manifold method is proposed for a class of nonlinearly parameterized uncertain systems. The introduction of the tuning function of I&I to the estimator of the unknown parameters in the uncertain system increases the degrees of freedom in system controller design and ensures the asymptotic convergence of the estimation error. The designed adaptive robust controller not only handles the nonlinearly parameterized uncertainties and external disturbance, but also ensures the desired transient and steady-state performances. A simulation example is presented to illustrate the effectiveness of the proposed method.
Keywords:nonlinear systems  adaptive control  robust control  immersion & invariance
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