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带约束的采样系统的鲁棒H_∞滚动优化控制
Robust H_∞ Horizon Optimization Control for Sampled-data Systems with Constraints
【Author】 LIU Fuchun~(1,2),PEI Hailong~1,ZHAO Yueying~3,LI Min~4 1.College of Automation Science and Engineering,the Key Laboratory of Autonomous Systems and Networked Control (ASNC),Ministry of Education,South China University of Technology,Guangzhou 510640,P.R.China 2.China International Marine Containers(Group) LTD.Shenzhen 518067,P.R.China 3.Department of Automation,Guangzhou Kangda Vocational Technical College,Guangzhou 511363,P.R.China 4.School of Electronic Information and Control Engineering,Shandong Polytechnic University,Jinan 250353,P.R.China
【机构】 华南理工大学自动化学院自主系统与网络控制教育部重点实验室; 中国国际海运集装箱(集团)股份有限公司; 广州康大职业技术学院自动化系; 山东轻工业学院电子信息与控制工程学院;
【摘要】 针对不确定采样控制系统的跳变模型,基于定常Lyapunov函数方法研究了带输出约束采样系统的鲁棒状态反馈H_∞控制器设计问题。针对范数有界参数不确定采样系统,提出了H_∞滚动优化设计的在线算法,该算法得到了最优状态反馈H_∞控制器,且兼顾了输出约束和系统性能之间的关系,即实现了当较大扰动作用于系统时,自动降低性能以保证满足输出约束,当外部扰动恢复到通常状态时,提高系统性能以取得较好的控制效果。
【Abstract】 In this paper,the problem of designing of robust state-feedback H_∞ ,controller for uncertain sampled-data control systems with output constraints have been investigated base on jump system model of sampled-data system using constant Lyapunov function(CLF) approach.The online algorithm of the _∞ ,receding horizon optimization design for the normbounded parametric uncertain system is proposed.The optimal state-feedback _∞ ,controllers are obtained and these controller can provide a performance tradeoff with respect to output constraints,i.e.,the control strategy offers the capability of relaxing the performance level automatically in order to obey output constraints in the case of a larger disturbance.When the disturbance is restored to a usual situation,this control strategy can also improve the performance of system automatically.
【Key words】 Sampled-data Control Systems; Parametric Uncertainty; Horizon Optimization Control; H_∞Control;
- 【会议录名称】 中国自动化学会控制理论专业委员会C卷
- 【会议名称】第三十届中国控制会议
- 【会议时间】2011-07-22
- 【会议地点】中国山东烟台
- 【分类号】TP13
- 【主办单位】中国自动化学会控制理论专业委员会