一类基于模糊系统的非线性鲁棒自适应预测控制

方炜; 姜长生

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一类基于模糊系统的非线性鲁棒自适应预测控制

专题研究 | 更新时间：2025-12-08

- 一类基于模糊系统的非线性鲁棒自适应预测控制
- Nonlinear Robust Adaptive Predictive Control Based on Fuzzy Systems
- 西安交通大学学报 2008年42卷第6期页码：669-673
- 作者机构：
  
  南京航空航天大学自动控制工程系,南京,210016
- 作者简介：
- 基金信息：
  
  : 2007-07-16. 作者简介: 方炜(1977-),男,博士生;姜长生(联系人),男,教授,博士生导师. 基金项目: 国家自然科学基金资助项目(90405011)
- DOI：
  中图分类号： TP293.2;V294.1
- 网络首发：2008-06-09，
  
  纸质出版：2008
- 稿件说明：
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方炜, 姜长生. 一类基于模糊系统的非线性鲁棒自适应预测控制[J]. 西安交通大学学报, 2008,42(6):669-673.

方炜, 姜长生. Nonlinear Robust Adaptive Predictive Control Based on Fuzzy Systems[J]. 2008, 42(6): 669-673.
方炜, 姜长生. 一类基于模糊系统的非线性鲁棒自适应预测控制[J]. 西安交通大学学报, 2008,42(6):669-673. DOI：

方炜, 姜长生. Nonlinear Robust Adaptive Predictive Control Based on Fuzzy Systems[J]. 2008, 42(6): 669-673. DOI：

摘要

基于模糊系统研究了一种新的非线性鲁棒自适应预测控制算法

并应用于空天飞行器(ASV)再入飞行的姿态控制律设计.利用模糊系统的一致逼近能力

逼近被控对象中的未知干扰和不确定性因素

并基于Lyapunov方法设计了鲁棒自适应控制律.模糊系统的权值无需调整

仅需根据系统的跟踪误差调节鲁棒自适应控制器中的参数

在线调整的参数仅为2个

从而大大简化了控制器的设计.理论分析证明了闭环系统的所有信号一致最终有界.利用所提控制算法设计了ASV高超声速飞行姿态的控制系统

仿真的系统响应时间为1.5 s

且无超调

这表明该算法对参数不确定性和外界干扰具有较强的鲁棒性.

Abstract

Based on a fuzzy system

a novel nonlinear robust adaptive predictive control method is presented and applied to the re-entry of an aerospace vehicle(ASV). The unknown disturbances and uncertainties are estimated using the fuzzy system in virtue of its approaching ability. A robust adaptive controller is designed using the Lyapunov theory. Because the weight parameters of the fuzzy system are kept unchanged

only two parameters of the robust adaptive controller are adaptively adjusted by tracking errors

so as to simplify the design of the controller. It is shown that the closed-loop system is ultimately bounded on all signals. Finally

the flight control system of an aerospace vehicle under hypersonic conditions is designed by the proposed method. The results show that the response time is about 1.5 seconds and the overshoot is 0

respectively

which indicate the fine robust performance of the proposed method for parameter uncertainty and disturbance.

关键词

Keywords

references

FEN W. LMI-based robust model predictive control and its application to an industrial CSTR problem [J]. Journal of Process Control, 2001,11(3):649-659.

LEYLA O, MAYURESH V K. Stability analysis of a multi-model predictive control algorithm with application to control of chemical reactors[J]. Journal of Process Control, 2006,16(5):81-90.

NECOARA I, SCHUTTER B D, BOOM T, et al. Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances[C]∥43rd IEEE Conference on Decision and Control. Piscataway, NJ, USA: IEEE,2004:1848-1853.

CHEN Wenhua, DONALD J B, PETER J G. Optimal control of nonlinear systems: a predictive control approach [J]. Automatic, 2003, 39(6):633-641.

CHI H W, TSUNG C L, TSU T L, et al. Adaptive hybrid intelligent control for uncertain nonlinear dynamical systems [J]. IEEE Transactions on Systems, Man, and Cybernetics, 2002, 32(5):583-597.

王银河,李志远.一类基于模糊逻辑系统的非线性系统自适应跟踪控制 [J].控制与决策,2004,19(10):1121-1124.

WANG Yinhe, LI Zhiyuan. Adaptive tracking control for a class of nonlinear systems based on fuzzy logic systems [J]. Control and Decision, 2004,19(10): 1121-1124.

DANIEL V D, YU Tang. Adaptive robust fuzzy control of nonlinear systems[J]. IEEE Transactions on Systems, Man, and Cybernetics, 2004, 34(3):1596-1601.

杨盐生.不确定系统的鲁棒控制及其应用 [M].北京:科学出版社,2004.

朱亮,姜长生,陈海通,等.基于单隐层神经网络的空天飞行器直接自适应轨迹线性化控制 [J].宇航学报,2006,27(3):338-344.

ZHU Liang, JIANG Changsheng, CHEN Haitong, et al. Direct adaptive trajectory linearization control of aerospace vehicle using SHLNN [J]. Journal of Astronautics, 2006,27(3):338-344.

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