Predictive Control Of A Class Of Nonlinear Systems Based On Fuzzy Disturbance Observer

被引：0
|
作者：
Wei, Fang [1 ]
liang, Zhu [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Dept Automat Control Engn, Nanjing 210016, Peoples R China
[2] Shanghai Jiao Tong Univ, Inst Aerosp Sci & Technol, Shanghai 200240, Peoples R China
来源：
2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年
关键词：
Nonlinear Uncertain System; Predictive Control; Fuzzy Disturbance Observer; Aerospace Craft;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a robust predictive control law to a class of nonlinear uncertain systems. A simple predictive controller is constructed by taylor equation, so the online optimization can be avoided. A fuzzy disturbance observer is used to estimate the unknown disturbances and uncertainties. According to the tracking error, the fuzzy system adjusts the weight parameters. Using Lyapunov theory, all signals of closed-loop system have been proven to be ultimately bounded. Finally, the proposed method is applied to the longitude flight control system of aerospace vehicle under hypersonic condition. Simulation results demonstrate the effectiveness of the method.
引用
收藏
页码：2950 / +
页数：2
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