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JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE)
Computer Technology, Control Technology     
Hypersonic vehicle blended control methodology based on stability criterion
YANG Chun ning, FANG Jia wei, LI Chun, GE Hui
1.School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China;
2. Shanghai Institute of Spaceflight Control Technology, Shanghai 201109, China
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Abstract  
The traditional strategy to open the side jet in blended control system was strongly dependent on priori data, which led to poor robustness, therefore, a blended control methodology based on stability criterion was proposed. According to hypersonic vehicle model, the stability criterion was deduced to predict the vehicle stability. When the vehicle was nearly unstable, side force moment was added by opening the side jet engines to control the vehicle. This method does not rely on priori data, and it can ensure the steady flight and high maneuverability in high Mach flight. The full state six-degrees of freedom hypersonic vehicle model was established to finish the simulation, results indicate that the proposed method has better performance on disturbance rejection, and is more robust than traditional control strategy.


Published: 06 March 2017
CLC:  V 249.122  
Cite this article:

YANG Chun ning, FANG Jia wei, LI Chun, GE Hui. Hypersonic vehicle blended control methodology based on stability criterion. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(2): 422-428.


基于稳定性判据的高超声速复合控制方法

针对传统直气复合控制系统侧喷发动机开启策略对先验数据的依赖性较强,导致鲁棒性较差的问题,提出基于稳定性判据的直气复合控制方法.根据高超声速飞行器模型推导稳定性判据,按照该判据预测飞行器的稳定状态,当飞行器即将失稳时开启侧喷发动机,及时增加直接力矩,控制飞行器稳定.该方法不依赖先验数据,可满足飞行器高马赫数下的稳定飞行和高机动性要求.通过建立全状态六自由度高超声速模型进行仿真研究,结果表明所提出的控制器具有较好的抗干扰能力,比传统控制策略鲁棒性更强.

[1] VOLAND R T, HUEBNER L D, MCCLINTON C R. X43A hypersonic vehicle technology development [J]. The International Academy Astronautics, 2006, 59(1): 181-191.
[2] DOMAN D B, GAMBLE B J, NGO A D. Quantized control allocation of reaction control jets and aerodynamic control surfaces [J]. Journal of Guidance, Control  and Dynamics, 2009, 32(1): 13-24.
[3] HIROKAWA R, SATO K, MANABE S. Autopilot design for a missile with reaction-jet using coefficient diagram method [C]∥AIAA Guidance, Navigation and Control Conference and Exhibit. Canada: AIAA, 2001: 739-746.
[4] TAUR D R, HSU H T. A composite guidance strategy for SAAMM with side jet controls [C]∥AIAA Guidance, Navigation and Control Conference and Exhibit. Canada: AIAA, 2001.
[5] LIU Z, JIA X H. Novel back-stepping design for blended aero and reaction-jet missile autopilot [J]. Journal of Systems Engineering and Electronics, 2008, 19(1):148-153.
[6] SU S F, LEE Z J, WANG Y P. Robust and fast learning for fuzzy cerebellar model articulation controllers [J]. IEEE Transactions on Systems, Man and Cybernetics, 2006,36(1): 203-208.
[7] 王霄婷,周军,林鹏.再入飞行器变质心/RCS复合控制策略研究[J]. 西北工业大学学报, 2011, 29(2): 212-216.
WANG Xiao ting, ZHOU Jun, LIN Peng. Proposing moving centroid/RCS control strategy for reentry flight vehicle [J]. Journal of Northwestern  Polytechnical University, 2011, 29(2): 212-216.
[8] GENG J, SHENG Y Z, LIU X D. Finite-time sliding mode attitude control for a reentry vehicle with blended aerodynamic surfaces and a reaction control system [J].Chinese Journal of Aeronautics, 2014, 27(4): 964-976.
[9] SONG G B, BUCK N V, AGRAWAL B N. Spacecraft vibration reduction using pulse-width pulse-frequency modulated input shaper [J]. AIAA Journal of Guidance, Control and Dynamics, 1999, 22(3): 433-444.
[10] ZHANG Y Y, LI R F, X T, et al. An analysis of stability and chattering reduction of high-order sliding mode tracking control for a hypersonic vehicle [J]. Information Sciences, 2016, 348(20): 25-48.
[11] ZAHRINGER C, HELLER M,SACHS G. Lateral separation dynamics and stability of a two-stage hypersonic vehicle [C]∥12th AIAA International Space Planes and Hypersonic Systems and Technologies. Virginia: AIAA, 2003.
[12] TEODORESCU B C. Lateral directional oscillatory departure criteria for high angle-of-attack flight conditions [J]. University Politehnica of Bucharest Scientific Bulletin, 2006, 68(3): 45-54.
[13] GOMAN M G, KHRAMTSOVSKY A V, KOLENIKOV E N. Evaluation of aircraft performance and maneuverability by computation of attainable equilibrium sets [J]. Journal of Guidance, Control and Dynamics, 2008, 31(2): 329-339.
[14] BUSCHEK H, CALISE A J. Uncertainty modeling and fixed-order controller design for a hypersonic vehicle model [J]. Journal of Guidance, Control and Dynamics, 1997, 20(1): 42-48.
[15] SHAUGHNESSY J D, PINCKNEY Z, MCMINN J D, et al. Hypersonic vehicle simulation model: winged-cone configuration [R]. Virginia: NASA Langley Research Center, 1990.
[16] SHAO X L, WANG H L. Six-DOF modeling and simulation of a generic hypersonic vehicle for conceptual design studies [C]∥ AIAA Modeling and Simulation Technologies Conference and Exhibit, Rhode: AIAA,2004.
[17] XING L D, ZHANG K N, CHEN W H, et al. Optimal control and output feedback considerations for missile with blended aero-fin and lateral impulsive thrust [J]. Chinese Journal of Aeronautics, 2010, 23(4):401-408.
[18] INNOCENTI M, THUKRAL A. A blending strategy for missile autopilots using the simplex method [C]∥ Proceedings of the 1995 American Control Conference. Seattle: IEEE, 1995: 2163-2167.
[19] MICKLE M C, ZHU J J. Bank-to-turn roll-yaw-pitch autopilot design using dynamic nonlinear inversion and PD-eigenvalue assignment [C]∥Proceeding of the 2000 American Control Conference, Chicago: IEEE, 2000: 1359-1364.
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