| 高超声速飞行器再入段LQR自抗扰控制方法设计 |
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| 引用本文： | 高科,宋佳,艾绍洁,刘羿杰. 高超声速飞行器再入段LQR自抗扰控制方法设计[J]. 宇航学报, 2020, 41(11): 1418-1423. DOI: 10.3873/j.issn.1000-1328.2020.11.007 |
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| 作者姓名： | 高科 宋佳 艾绍洁 刘羿杰 |
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| 作者单位： | 1. 北京航空航天大学宇航学院，北京 100191；2. 中国航天科工集团有限公司，北京 100048 |
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| 基金项目： | 国家自然科学基金（61473015, 91646108）；国家H863项目（11100002017115004, 111GFTQ2018115005,111GFTQ2019115006） |
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| 摘 要： | 针对高超声速飞行器(HSV)再入过程中强非线性、强耦合、气动参数变化剧烈的不确定性的特点，提出一种基于线性二次型调节器(LQR)和自抗扰控制(ADRC)的高超声速飞行器再入段的姿态控制方法。首先，建立高超声速飞行器再入段线性化模型，并采用LQR方法完成了状态反馈控制律设计。然后，结合自抗扰控制技术，设计了扩张状态观测器(ESO)对系统的模型不确定性和外部干扰进行补偿，大幅增强了系统的扰动抑制能力。最后，将得到的高超声速飞行器再入段LQR自抗扰姿态控制器(LQRADRC)应用于高超声速飞行器六自由度仿真，仿真结果表明本文所提出的控制方法能够快速、精确地跟踪角位置指令，并且对系统不确定性具有强鲁棒性。
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| 关 键 词： | 高超声速飞行器(HSV) 姿态控制 自抗扰控制 线性二次型调节器(LQR) |
| 收稿时间： | 2019-12-04 |
LQR Active Disturbance Rejection Control Method Designfor Hypersonic Vehicles in Reentry Phase |
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| GAO Ke,SONG Jia,AI Shao jie,LIU Yi jie. LQR Active Disturbance Rejection Control Method Designfor Hypersonic Vehicles in Reentry Phase[J]. Journal of Astronautics, 2020, 41(11): 1418-1423. DOI: 10.3873/j.issn.1000-1328.2020.11.007 |
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| Authors: | GAO Ke SONG Jia AI Shao jie LIU Yi jie |
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| Affiliation: | 1. School of Astronautics, Beihang University, Beijing100191, China;2. China Aerospace Science & Industry Corporation, Beijing100048, China |
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| Abstract: | Hypersonic vehicle (HSV) has strong nonlinearity, highcoupling and multiple variables in the reentry process, bringing challenges forthe attitude controller design. This paper investigates a compound controlscheme combined with the advantages of the linear quadratic regulator (LQR) andactive disturbance rejection control (ADRC) method for the reentry flightattitude control of HSV. Firstly, the HSV 6 degree of freedom model is established. Then the LQR control method is usedfor the reentry attitude control of the HSV. After that, the basic activedisturbance rejection control (ADRC) method is built, and the extended stateobserver (ESO) is designed to make compensation for the uncertainty of themodel. The LQRADRC method for the HSV is firstly proposed. Finally, thesimulation results are shown to illustrate the advantages of the proposedLQRADRC method in terms of accuracy and robustness with uncertain parameters. |
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