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基于奇异摄动理论的电液伺服系统Backstepping滑模自适应控制
引用本文:吴忠强,夏青. 基于奇异摄动理论的电液伺服系统Backstepping滑模自适应控制[J]. 振动与冲击, 2012, 31(11): 154-157. DOI:  
作者姓名:吴忠强  夏青
作者单位:燕山大学西校区电气学院工业计算机控制工程河北省重点实验室,河北省 秦皇岛市, 066004
基金项目:河北省自然科学基金资助(F2012203088)
摘    要:针对电液伺服位置跟踪系统中存在的非线性特性、系统参数和外部负载的非匹配不确定性,提出了基于奇异摄动理论的电液伺服系统的Backstepping滑模自适应控制。利用奇异摄动中双时间刻度理论将原系统分解为快慢变子系统,分别设计快变和慢变子系统的控制律,再合成得到复合控制器。应用Backstepping的逆向递推方法有效地解决了高阶非线性系统的控制问题,用滑模方法抑制系统的外部扰动,对系统的不确定性参数进行自适应估计。数字仿真的结果验证了所设计控制器的正确性和有效性。

关 键 词:电液伺服系统   奇异摄动理论   滑模控制   自适应控制 
收稿时间:2010-09-20
修稿时间:2011-04-20

Backstepping sliding mode adaptive control of an electro-hydraulic servo system based on singular perturbation theory
WU Zhong-qiang,XIA Qing. Backstepping sliding mode adaptive control of an electro-hydraulic servo system based on singular perturbation theory[J]. Journal of Vibration and Shock, 2012, 31(11): 154-157. DOI:  
Authors:WU Zhong-qiang  XIA Qing
Affiliation:Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Hebei Province Qinhuangdao, 066004
Abstract:The position control of an electro-hydraulic servo system was studied.Because the dynamic behaviors of the system were highly nonlinear and had large level of model uncertainties including big changes in load and hydraulic parameters,moreover,these uncertainties were unmatched,a backstepping sliding mode adaptive control approach based on singular perturbation theory was proposed.Based on the double time scale theory in singular perturbation,an original system was divided into fast and slow subsystems.The control laws of the fast and slow subsystems were designed separately and a compound control was attained.The backstepping technique was used to solve the control problem of the high-order nonlinear system,the sliding mode technique was used to suppress external disturbances,the adaptive estimation was made for uncertain parameters.Simulation results verified the effectiveness of the presented approach.
Keywords:electro-hydraulic servo system  singular perturbation theory  sliding mode control  adaptive control
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