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带有内动态的离散不确定非线性系统的滑模预测跟踪控制
引用本文:张利军,赵杰梅,齐雪. 带有内动态的离散不确定非线性系统的滑模预测跟踪控制[J]. 控制理论与应用, 2012, 29(12): 1651-1656
作者姓名:张利军  赵杰梅  齐雪
作者单位:1. 哈尔滨工程大学自动化学院,黑龙江哈尔滨150001;西北工业大学航海学院,陕西西安710072
2. 哈尔滨工程大学自动化学院,黑龙江哈尔滨,150001
3. 安徽科技学院理学院,安徽蚌埠,233100
基金项目:This work was supported by the National Natural Science Foundation of China (No. 61174047); the Basic Research Foundation of Northwestern Polytechnical University (No. JC201230).
摘    要:对于一类带有内动态的单输入-单输出不确定离散非线性系统,基于滑模预测控制技术设计了一个控制器.通过反馈校正和滚动优化技术,可以及时补偿不确定性的影响,提高了匹配和不匹配不确定项的鲁棒性.然后,通过滚动优化技术得到期望的滑模控制律.特别地,通过预测控制,滑模控制的抖振现象可以消除.最后,在不确定项的界未知的情况下,得到闭环系统的所有信号都是有界的,并且跟踪误差是鲁棒稳定的.仿真例子说明所提出控制方法的有效性.

关 键 词:离散非线性系统  预测控制  滑模控制  内动态
收稿时间:2012-05-02
修稿时间:2012-06-29

Sliding-mode prediction tracking control for discrete-time uncertain nonlinear systems with internal dynamics
ZHANG Li-jun,ZHAO Jie-mei and QI Xue. Sliding-mode prediction tracking control for discrete-time uncertain nonlinear systems with internal dynamics[J]. Control Theory & Applications, 2012, 29(12): 1651-1656
Authors:ZHANG Li-jun  ZHAO Jie-mei  QI Xue
Affiliation:College of Automation, Harbin Engineering University; School of Marine, Northwestern Polytechnical University,College of Automation, Harbin Engineering University,School of Science, Anhui Science and Technology University
Abstract:Based on the sliding-mode predictive control (SMPC) technique, a controller for a class of discrete-time nonlinear uncertain single-input-single-output (SISO) systems with internal dynamics is proposed. Due to the feedback correction and receding horizon optimization, the effect of uncertainty can be compensated in time, and the robustness to matched or unmatched uncertainties has been improved. The desired sliding-mode control law is obtained by using the receding horizon optimization subsequently. Especially, the chattering of sliding-mode control (SMC) can be eliminated by predictive control techniques. It is shown that all the signals of the closed-loop systems are bounded and the tracking error is robustly stable, without requiring the boundary knowledge of the uncertainty. Simulation result is given to demonstrate the advantages of the proposed method.
Keywords:discrete-time nonlinear systems   predictive control   sliding mode control   internal dynamic
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