基于状态反馈的黄金分割控制器参数化方法及其在高超声速飞行器上的应用

doi:10.3969/j.issn.1674-1579.2013.03.001

Abstract

Abstract: This paper is concerned with the mixed H2 and H∞ adaptive control for hypersonic vehicles during reentry phase. The dynamics of the angle of attack in the longitudinal plane is modeled by using a secondorder difference equation known as the characteristic model. In order to improve the transient performance in the presence of large aerodynamic coefficient variations and unknown exogenous disturbances, a more intelligent goldensection robust adaptive control law with the similar structure as the characteristic model with goldensection parameters, is proposed based on our previous work. In addition to easy implementation and guarantee of stability before the convergence of parameter estimation, this new adaptive control law contains an adjustable parameter λ(k) that guarantees H2 and H∞ robustness of the system, and is calculated based on the linear matrix inequality approach. The integration of adaptive control and robust control provides the attitude control system for hypersonic vehicles with the capability to accommodate large flight conditions in a reliable way. Simulations are carried out on a hypersonic vehicle

Key words: hypersonic cruise vehicles, control, robust adaptive control

CLC Number:

HUANG Huang, WANG Yong. StateFeedbackBased Parameterization of GoldenSection Adaptive Control and Its Applications in Hypersonic Vehicles[J]., 2013, 39(3): 1-7.

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URL: http://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/10.3969/j.issn.1674-1579.2013.03.001

http://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/Y2013/V39/I3/1

References

［1］Fidan B , Mirmirani M, Ioannou P A , Flight dynamics and control of airbreathing hypersonic vehicles: review and new directions［C］. The 12th AIAA International Space planes and Hypersonic Systmes and Technologies, Norfolk, Virginia, 2003 ［2］Huang L, Duan Z S, Yang J Y. Challenges of control science in near space hypersonic aircrafts［J］. Control Theory & Applications, 2011, 28(10): 14961505 ［3］Lind R. Linear parametervarying modeling and control of structural dynamics with aerothermoelastic effects［J］.Journal of Guidance Control and Dynamics,2002， 25: 733739 ［4］Fiorentini L, Serrani A, Michael A B. Nonlinear robust/adaptive controller design for an airbreathing hypersonic vehicle model［C］. AIAA Guidance, Navigation and Control Conference and Exhibit, South Carolina, USA, 2006 ［5］Xu H J, Mirmirani M D, Ioannou P A. Adaptive sliding mode control design for a hypersonic flight vehicle［J］. Journal of Guidance, Control, and Dynamics, 2004, 27(5): 829838 ［6］Brinker J S, Wise K A. Flight testing of reconfigurable control law on the X36 tailless aircraft［J］. Journal of Guidance, Control, and Dynamics, 2001, 24(5): 903909 ［7］Cai G B, Duan G R, Hu C H,et al. Tracking control for airbreathing hypersoinc cruise vehicle based on tangent linearization approach［J］. Journal of Systems Engineering and Electronics, 2010, 21(3): 469475 ［8］Reiman S E, Dillon C H, Lee H P, et al.Adaptive reconfigurable dynamic inversion control for a hypersonic cruise vehicle［C］. AIAA Guidance, Navigation and Control Conference and Exhibit, Honolulu, Hawaii, August 2008 ［9］Meng B,Wu H X. A unified proof of the characteristic model of linear timeinvariant systems［C］. American Control Conference, New York, USA, 2007 ［10］Wu H X, Hu J, Xie Y C. Characteristic modelbased allcoefficient adaptive control method and its applications［J］. IEEE Transactions on Systems, Man, and CyberneticsPart C: Applications and Reviews, 2007, 37(2): 213221 ［11］Luo X,Li J. Fuzzy dynamic characteristic model based attitude control of hypersonic vehicle in gliding phase［J］. Science China: Series F Information Sciences, 2011, 54(3): 448459 ［12］孟斌, 吴宏鑫, 高超声速飞行器基于特征模型的自适应控制［C］. 第26届中国控制会议,张家界，2007 Meng B,Wu H X. Adaptive control based on characteristic model for a hypersonic flight vehicle［C］. The 26th Chinese Control Conference, Zhangjiajie, 2007 ［13］Meng B, Wu H X, Lin Z L. Characteristic model based control of the X34 reusable launch vehicle in its climbing phase［J］.Science China: Series F Information Sciences, 2009,52:22162225 ［14］Bolender M A, Doman D B. A nonlinear longitudinal dynamical model of an airbreathing hypersonic vehicle［J］. Journal of Spacecraft and Rockets, 2007, 44(2): 374387 ［15］Bollino K P. Highfidelity realtime trajectory optimization for reusable launch vehicles［D］. Naval Postgraduate School, 2006 ［16］吴宏鑫, 胡军, 解永春. 基于特征模型的智能自适应控制［M］.北京：中国科学技术出版社, 2009 ［17］Qi C, Wu H, Lv Z. The study on the stability of allcoefficient golden section feedback control system［C］. The 3rd World Congress on Intelligent Control and Automation, Hefei, 2000 ［18］Bernstein D S, Haddad W M. LQG control with H∞ performance bound: a Riccati equation approach［J］. IEEE Transactions on Automatic Control, 1989, 34(3): 293305 ［19］Boyd S, Ghaoui L E, Feron E, et al. Linear matrix inequalities in system and control theory［M］.Philadelphia: Society for Industry and Applied Mathematics, 1994 ［20］Huang H，Wang Y. Mixed H2/H∞ robust adaptive control of hypersonic vehicles based on the characteristic model［C］. Chinese Control Conference, Hefei, 2012 ［21］郭雷, 时变随机系统—稳定性、估计与控制［M］.长春：吉林科学技术出版社, 1993

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StateFeedbackBased Parameterization of GoldenSection Adaptive Control and Its Applications in Hypersonic Vehicles

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