Adaptive trajectory linearization control for hypersonic reentry vehicle

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• 作者：Yu Hu 胡钰 ; Hua Wang 王华 ; Zhang Ren 任章
• 关键词：hypersonic reentry vehicle (HRV) ; trajectory linearization control (TLC) ; fuzzy ; neural disturbance observer (FNDO) ; B ; spline
• 刊名：Journal of Central South University
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：23
• 期：11
• 页码：2876-2882
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Engineering, general; Metallic Materials;
• 出版者：Central South University
• ISSN：2227-5223
• 卷排序：23

文摘

This paper presents an improved design for the hypersonic reentry vehicle (HRV) by the trajectory linearization control (TLC) technology for the design of HRV. The physics-based model fails to take into account the external disturbance in the flight envelope in which the stability and control derivatives prove to be nonlinear and time-varying, which is likely in turn to increase the difficulty in keeping the stability of the attitude control system. Therefore, it is of great significance to modulate the unsteady and nonlinear characteristic features of the system parameters so as to overcome the disadvantages of the conventional TLC technology that can only be valid and efficient in the cases when there may exist any minor uncertainties. It is just for this kind of necessity that we have developed a fuzzy-neural disturbance observer (FNDO) based on the B-spline to estimate such uncertainties and disturbances concerned by establishing a new dynamic system. The simulation results gained by using the aforementioned technology and the observer show that it is just due to the innovation of the adaptive trajectory linearization control (ATLC) system. Significant improvement has been realized in the performance and the robustness of the system in addition to its fault tolerance.