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一类控制系数有界的时变非线性系统的自适应鲁棒控制
引用本文:杜佳璐,于双和,郭晨,陈余庆.一类控制系数有界的时变非线性系统的自适应鲁棒控制[J].控制理论与应用,2012,29(3):375-380.
作者姓名:杜佳璐  于双和  郭晨  陈余庆
作者单位:大连海事大学信息科学技术学院,辽宁大连,116026
基金项目:国家自然科学基金资助项目(51079013, 61074053); 辽宁省教育厅高等学校科研资助项目(LT2010013); 新世纪优秀人才支持计划资助项目.
摘    要:针对一类带有有界控制系数和有界扰动的时变参数严反馈非线性系统, 将Nussbaum函数增益及光滑投影算法与自适应逆推设计工具相结合, 提出一种自适应鲁棒非线性控制方案. 在此方案中无需知道控制系数的符号, 以及时变参数和扰动的界. 借助Lyapunov函数及相关引理证明了所设计的自适应鲁棒非线性控制器能保证闭环系统中的所有信号全局一致有界. 可以通过恰当地选取设计参数, 保证系统具有任意指定的控制性能. 仿真研究证明了所提出算法的可行性和有效性.

关 键 词:自适应鲁棒控制    严反馈非线性时变系统    不确定    逆推    Nussbaum增益
收稿时间:5/5/2011 12:00:00 AM
修稿时间:2011/7/27 0:00:00

Adaptive robust control of a class of nonlinear systems with time-varying parameters and bounded control coefficient
DU Jia-lu,YU Shuang-he,GUO Chen and CHEN Yu-qing.Adaptive robust control of a class of nonlinear systems with time-varying parameters and bounded control coefficient[J].Control Theory & Applications,2012,29(3):375-380.
Authors:DU Jia-lu  YU Shuang-he  GUO Chen and CHEN Yu-qing
Affiliation:School of Information Science and Technology, Dalian Maritime University,School of Information Science and Technology, Dalian Maritime University,School of Information Science and Technology, Dalian Maritime University,School of Information Science and Technology, Dalian Maritime University
Abstract:This paper designs an adaptive robust controller for a class of strict-feedback nonlinear systems with timevarying parameters and bounded control coefficient and disturbances. Incorporating Nussbaum function gain and smooth projection algorithm with adaptive backstepping design tools, this design method does not require a priori knowledge of the sign of the time-varying control coefficient and the bound of time-varying parameters and disturbances. By means of Lyapunov function and related lemmas, we prove that the designed adaptive robust nonlinear controller guarantees the global uniform boundedness of all signals of the resulting closed-loop system. The desired system performances can be achieved by appropriately selecting the design parameters. Simulation studies show the feasibility and effectiveness of the presented approach.
Keywords:adaptive robust control  strict-feedback nonlinear time-varying systems  uncertainty  backstepping  Nussbaum gain
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