Fuzzy dynamic characteristic modeling and adaptive control of nonlinear systems and its application to hypersonic vehicles

查看全文 作　　者：LI HongBo SUN ZengQi MIN HaiBo DENG [1,2]JianQiu

机构地区：[1]Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China Received May 6, 2010;[2] accepted December 14, 2010;

出　　处：《Science China(Information Sciences)》索引2011年第54卷第3期,共9页

基　　金：supported by a grant from National Laboratory of Space Intelligent Control, the Postdoctoral Science Foundation of China (Grant Nos. 20090460032, 201003120);the National Science Fund for Distinguished Young Scholars (Grant No. 60625304);the National Natural Science Foundation of China (Grant Nos.61004021, 61074066, 90716021) 摘　　要：In this paper, a fuzzy dynamic characteristic modeling and adaptive control method is proposed for a class of nonlinear systems. By employing fuzzy dynamic characteristic model, the controlled plant is described as a slowly time-varying fuzzy system, wherein the parameters are estimated online by using recursive Least-Squares algorithm. Under this framework, a fuzzy adaptive controller is constructed, and the stability condition of the closed-loop system is also derived. The main advantage of the proposed method lies in no requirement for the prior knowledge of system model and less parameters to tune, which allows engineers to operate it in a simple, straightforward manner. The proposed method is applied to the control of hypersonic vehicle, and simulation results are given to demonstrate the effectiveness of the obtained results. 关键词：模糊自适应控制器高超声速飞行器非线性系统模糊系统动态特性建模递归最小二乘算法应用

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Fuzzy dynamic characteristic modeling and adaptive control of nonlinear systems and its application to hypersonic vehicles

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