Fuzzy dynamic characteristic model based attitude control of hypersonic vehicle in gliding phase  

作　　者：LUO Xiong LI Jiang 

机构地区：[1]Department of Computer Science and Technology, Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education), University of Science and Technology Beijing, Beijing 100083, China [2]National Laboratory of Space Intelligent Control, Beijing 100190, China

出　　处：《Science China(Information Sciences)》2011年第3期448-459,共12页中国科学（信息科学）（英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 61074066, 90716021,60736023, 61004021);the National Laboratory of Space Intelligent Control and Open Foundation (Grant No.SIC07010202);the Beijing Key Discipline Development Program (Grant No. XK100080537)

摘　　要：The intelligent autonomous control of hypersonic vehicles has aroused great interest from the field of spacecraft. To solve the problem of longitudinal attitude control of hypersonic vehicle in gliding phase, a new intelligent controller is proposed in this paper. This new controller is based on the fuzzy dynamic characteristic modeling method. The fuzzy logic is introduced into the characteristic modeling by dividing the whole restriction range into several subspaces. Simulations show that this modification greatly improves the performance of the original method. With the same whole restriction range the fuzzy dynamic characteristic modeling decreases the time of convergence, and at the same time makes the attitude angle tracing more precise and robust. Since the sub-model is a characteristic model that has stronger adaptiveness than a fixed local model, the number of fuzzy rules is greatly reduced. Our model sharply reduces the complexity in constructing a fuzzy dynamic model. Finally, simulation results are given to show the effectiveness of the proposed approach in dealing with the attitude control problem of hypersonic vehicle in gliding phase.

关 键 词：hypersonic vehicle gliding attitude control fuzzy dynamic characteristic modeling 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] V43[自动化与计算机技术—控制科学与工程]