Multi-objective robust control based on fuzzy singularly perturbed models for hypersonic vehicles

查看全文 作　　者：HU [1]YeNan;YUAN [2]Yuan;MIN [2,3]HaiBo;SUN [1]FuChun

机构地区：[1]Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;[2]Department of Automation, Xi'an Research Institute of High-Tech, Xi'an, Shaanxi 710025, China;[3]Beijing Institute of Astronautical System Engineering, Beijing 100076, China

出　　处：《Science China(Information Sciences)》索引2011年第54卷第3期,共14页

基　　金：supported by the National Science Fund for Distinguished Young Scholars (Grant No. 60625304);the National Natural Science Foundation of China (Grant Nos. 90716021,60621062) 摘　　要：In this paper, we propose a multi-objective robust controller based on fuzzy singularly perturbed models (FSPM) for the longitudinal motion of an air-breathing hypersonic vehicle. The control objective is to provide velocity and altitude tracking in the presence of the uncertainties and unknown nonlinearities in the model caused by variations in flight conditions. By approximating the multi-time-scale model with FSPM, ill-posed matrix calculations are circumvented. Under this framework, a fuzzy multi-objective robust controller is developed, and the linear matrix inequalities (LMI) condition is derived. Numerical simulation using the longitudinal model of a hypersonic aircraft is provided to demonstrate the effectiveness of the proposed strategy. 关键词：奇异摄动模型模糊多目标鲁棒控制器高超声速飞行器高超音速飞机非线性模型矩阵计算多时间尺度

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Multi-objective robust control based on fuzzy singularly perturbed models for hypersonic vehicles

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