论文

可重复使用飞行器的保性能姿态跟踪控制方法

  • 罗世彬 ,
  • 吴瑕 ,
  • 魏才盛
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  • 1. 中南大学 自动化学院, 长沙 410083;
    2. 中南大学 航空航天学院, 长沙 410083

收稿日期: 2020-08-21

  修回日期: 2020-10-15

  网络出版日期: 2020-12-18

基金资助

国家自然科学基金(11272349,62003371);湖南省自然科学基金(2020JJ5684);航天飞行动力学技术重点实验室开放基金(6142210200303)

A novel attitude tracking control with guaranteed performance for reusable launch vehicle

  • LUO Shibin ,
  • WU Xia ,
  • WEI Caisheng
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  • 1. School of Automation, Central South University, Changsha 410083, China;
    2. School of Aeronautics and Astronautics, Central South University, Changsha 410083, China

Received date: 2020-08-21

  Revised date: 2020-10-15

  Online published: 2020-12-18

Supported by

National Natural Science Foundation of China (11272349, 62003371); Natural Science Foundation of Hunan Province (2020JJ5684); Open Funds of National Key Laboratory of Aerospace Flight Dynamics, Key Laboratory of Space Intelligent Control Technology (6142210200303)

摘要

针对可重复使用飞行器再入姿态跟踪控制问题,在考虑执行器饱和、气动参数摄动和外部扰动的情况下,提出了一种保性能姿态跟踪控制方案。通过构造预设性能函数,使姿态跟踪误差在预先设置的包络内演化,保证了系统的瞬态和稳态性能;其次,借助于高增益扩张状态观测器解决了气动参数摄动和外部扰动的问题;之后,基于反步控制框架,设计了一种低复杂度的输出反馈扰动补偿控制方法,保证跟踪误差的收敛性。与已有方法相比,所设计的方法不包含一些复杂的非线性动力学近似技术,如神经网络等,降低了参数调节的复杂性,且无需对虚拟控制律重复微分,避免了"微分爆炸"问题。同时,Lyapunov稳定性分析表明,该方法能够保证误差变量的预期收敛以及其他闭环系统信号的有界性。最后,通过对比仿真验证了所提方法的有效性及可行性。

本文引用格式

罗世彬 , 吴瑕 , 魏才盛 . 可重复使用飞行器的保性能姿态跟踪控制方法[J]. 航空学报, 2021 , 42(11) : 524660 -524660 . DOI: 10.7527/S1000-6893.2020.24660

Abstract

In this paper, a novel approach with guaranteed performance is presented for attitude tracking control of the reusable launch vehicle in presence of actuator saturation, parameter uncertainties and external disturbances. The prescribed performance function is introduced to allow the attitude tracking errors evolve in the prescribed envelopes, so as to ensure the transient and steady state behaviors of the system. The high-gain extended state observer is designed to estimate the system uncertainties and external disturbances. Then, with the backstepping control technology, a low-complexity output feedback tracking control method is proposed to achieve disturbance compensation and guarantee the convergence of the tracking errors. The difference of the proposed method from other existing works is that the complicated approximating technologies such as neural networks are not employed, which reduces the workload of parameter tuning. In addition, the method proposed in this paper eliminates the tedious recursive time derivatives of the virtual control signals in each step. Therefore, the problem of "explosion of terms" can be avoided. Lyapunov stability analysis shows that the proposed method can guarantee the expected convergence of the output tracking errors and the boundness of other closed-loop system signals. Simulation results verify the effectiveness and feasibility of the control method.

参考文献

[1] 杨珍书, 毛奇, 窦立谦. 可重复使用飞行器再入姿态的区间二型自适应模糊滑模控制设计[J]. 北京航空航天大学学报, 2020, 46(4):781-790. YANG Z S, MAO Q, DOU L Q. Interval type-2 adaptive fuzzy sliding mode control design of reentry attitude for reusable launch vehicles[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(4):781-790(in Chinese).
[2] HU C F, GAO Z F, REN Y L, et al. A robust adaptive nonlinear fault-tolerant controller via norm estimation for reusable launch vehicles[J]. Acta Astronautica, 2016, 128:685-695.
[3] HU L, LI R F, XUE T, et al. Neuro-adaptive tracking control of a hypersonic flight vehicle with uncertainties using reinforcement synthesis[J]. Neurocomputing, 2018, 285:141-153.
[4] MAO Q, DOU L Q, ZONG Q, et al. Attitude controller design for reusable launch vehicles during reentry phase via compound adaptive fuzzy H-infinity control[J]. Aerospace Science and Technology, 2018, 72:36-48.
[5] 郭建国, 鲁宁波, 周军. 高超声速飞行器有限时间耦合模糊控制[J]. 航空学报, 2020, 41(11):623838. GUO J G, LU N B, ZHOU J. Fuzzy control of finite time attitude coupling in hypersonic vehicles[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(11):623838(in Chinese).
[6] WANG Y H, CHEN M, WU Q X, et al. Fuzzy adaptive non-affine attitude tracking control for a generic hypersonic flight vehicle[J]. Aerospace Science and Technology, 2018, 80:56-66.
[7] XU B, GAO D X, WANG S X. Adaptive neural control based on HGO for hypersonic flight vehicles[J]. Science China Information Sciences, 2011, 54(3):511-520.
[8] BECHLIOULIS C P, THEODORAKOPOULOS A, ROVITHAKIS G A. Output feedback stabilization with prescribed performance for uncertain nonlinear systems in canonical form[C]//Proceedings of the IEEE Conference on Decision and Control. Piscataway:IEEE Press, 2014:5084-5089.
[9] SUI S, TONG S C, LI Y M. Adaptive fuzzy backstepping output feedback tracking control of MIMO stochastic pure-feedback nonlinear systems with input saturation[J]. Fuzzy Sets and Systems, 2014, 254:26-46.
[10] MAZENC F, BURLION L, MALISOFF M. Backstepping design for output feedback stabilization for a class of uncertain systems[J]. Systems & Control Letters, 2019, 123:134-143.
[11] WANG Z, WU Z, DU Y J. Robust adaptive backstepping control for reentry reusable launch vehicles[J]. Acta Astronautica, 2016, 126:258-264.
[12] 王肖, 郭杰, 唐胜景, 等. 吸气式高超声速飞行器鲁棒非奇异Terminal滑模反步控制[J]. 航空学报, 2017, 38(3):320287. WANG X, GUO J, TANG S J, et al. Robust nonsingular Terminal sliding mode backstepping control for air-breathing hypersonic vehicles[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(3):320287(in Chinese).
[13] 胡超芳, 高志飞, 刘运兵, 等. 高超声速飞行器模糊自适应动态面容错控制[J]. 天津大学学报(自然科学与工程技术版), 2017, 50(5):491-499. HU C F, GAO Z F, LIU Y B, et al. Fuzzy adaptive dynamic surface fault-tolerant control for hypersonic vehicles[J]. Journal of Tianjin University (Science and Technology), 2017, 50(5):491-499(in Chinese).
[14] BECHLIOULIS C P, ROVITHAKIS G A. Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance[J]. IEEE Transactions on Automatic Control, 2008, 53(9):2090-2099.
[15] 魏才盛, 罗建军, 殷泽阳. 航天器姿态预设性能控制方法综述[J]. 宇航学报, 2019, 40(10):1167-1176. WEI C S, LUO J J, YIN Z Y. A review of prescribed performance control for spacecraft attitude[J]. Journal of Astronautics, 2019, 40(10):1167-1176(in Chinese).
[16] BU X W. Guaranteeing prescribed performance for air-breathing hypersonic vehicles via an adaptive non-affine tracking controller[J]. Acta Astronautica, 2018, 151:368-379.
[17] BU X W, XIAO Y, WANG K. A prescribed performance control approach guaranteeing small overshoot for air-breathing hypersonic vehicles via neural approximation[J]. Aerospace Science and Technology, 2017, 71:485-498.
[18] MAO Q, DOU L Q, ZONG Q, et al. Attitude control design for reusable launch vehicles using adaptive fuzzy control with compensation controller[J]. Proceedings of the Institution of Mechanical Engineers, Part G:Journal of Aerospace Engineering, 2019, 233(3):823-836.
[19] JIA Z H, HU Z H, ZHANG W D. Adaptive output-feedback control with prescribed performance for trajectory tracking of underactuated surface vessels[J]. ISA Transactions, 2019, 95:18-26.
[20] WEI C S, LUO J J, YIN Z Y, et al. Leader-following consensus of second-order multi-agent systems with arbitrarily appointed-time prescribed performance[J]. IET Control Theory and Applications, 2018, 12(16):2276-2286.
[21] BECHLIOULIS C P, ROVITHAKIS G A. Approximation-free prescribed performance control for unknown SISO pure feedback systems[C]//Proceedings of the European Control Conference. Piscataway:IEEE Press, 2013:4544-4549.
[22] ZHENG Q, GAO L, GAO Z Q, et al, On stability analysis of active disturbance rejection control for nonlinear time varying plants with unknown dynamics[C]//Proceedings of the 46th IEEE Conference on Decision and Control. Piscataway:IEEE Press, 2007:3501-3506.
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