| 基于预测控制的高超声速飞行器容错控制器设计 |
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| 引用本文： | 胡超芳,陶晔,高志飞,任艳丽,刘文静,宗群. 基于预测控制的高超声速飞行器容错控制器设计[J]. 控制与决策, 2017, 32(11): 2085-2089 |
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| 作者姓名： | 胡超芳 陶晔 高志飞 任艳丽 刘文静 宗群 |
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| 作者单位： | 天津大学电气与自动化工程学院,天津300072;天津市过程检测与控制重点实验室, 天津300072,天津大学电气与自动化工程学院,天津300072,天津大学电气与自动化工程学院,天津300072,天津大学电气与自动化工程学院,天津300072,北京控制工程研究所,北京100190,天津大学电气与自动化工程学院,天津300072 |
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| 基金项目： | 国家自然科学基金项目(61273092,61271321)；天津市自然科学基金项目(12JCZDJC30300)；天津市过程检测与控制重点实验室开放课题基金项目(TKLPMC-201613). |
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| 摘 要： | 针对存在升降舵面偏转角卡死故障的高超声速飞行器,提出一种基于预测控制的容错控制器设计方法.利用输入输出反馈线性化,对高超声速飞行器纵向模型进行变换;对于速度和高度的高阶导数以及故障项,设计扩张状态观测器在线观测;采用泰勒展开得到预测模型,建立连续预测控制器,分析证明闭环控制系统的稳定性和观测误差的有界性.仿真结果验证了所提方法的有效性.
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| 关 键 词： | 高超声速飞行器 预测控制 容错控制 扩张状态观测器 |
Fault tolerant controller design based on predictive control for hypersonic vehicles |
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| HU Chao-fang,TAO Ye,GAO Zhi-fei,REN Yan-li,LIU Wen-jing and ZONG Qun. Fault tolerant controller design based on predictive control for hypersonic vehicles[J]. Control and Decision, 2017, 32(11): 2085-2089 |
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| Authors: | HU Chao-fang TAO Ye GAO Zhi-fei REN Yan-li LIU Wen-jing ZONG Qun |
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| Affiliation: | School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China;Tianjin Key Laboratory of Process Measurement and Control,Tianjin 300072,China,School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China,School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China,School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China,Beijing Institute of Control Engineering,Beijing100190,China and School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China |
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| Abstract: | A fault tolerant controller design method based on predictive control is proposed for the hypersonic vehicle with elevator deflection stuck fault. The longitudinal model of hypersonic vehicle is transformed by using the input-to-output feedback linearization. The extended state observer is designed to estimate the higher derivatives of vehicle and altitude and the faulty functions online. The Talyor expansion is employed to obtain the predictive model, and the continuous predictive controller is constructed. Stability of the closed-loop control system and boundedness of observe errors are proved respectively. The illustrative simulations verify the effectiveness of the proposed method. |
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