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基于自适应观测器的飞行器抗干扰控制
引用本文:贺乃宝,高倩,徐启华,姜长生. 基于自适应观测器的飞行器抗干扰控制[J]. 浙江大学学报(工学版), 2013, 47(4): 650-655. DOI: 10.3785/j.issn.1008-973X.2013.04.013
作者姓名:贺乃宝  高倩  徐启华  姜长生
作者单位:1.淮海工学院 电子工程学院, 江苏 连云港 222005;2.南京航空航天大学 自动化学院,江苏 南京 210016
基金项目:国家自然科学基金资助项目(60974106,90716028);连云港工业攻关计划资助项目(CG1123)
摘    要:针对近空间飞行器(NSV)在高超音速飞行时气动参数变化剧烈且容易受到外界干扰的特点,提出快速自适应干扰观测器抗干扰方法.建立近空间飞行器的数学模型,进行抗干扰自适应观测器的设计.通过调整自适应参数和设计补偿项的自适应律,在自适应律中增加非线性指数项,提高了干扰观测系统对复合干扰的逼近速度,使其能够在有限时间内将系统误差收敛为零.对闭环系统性能进行严格的理论分析.在高超声速条件下对NSV进行仿真验证,结果表明,设计的控制方案具有更好的快速性和收敛性.

关 键 词:鲁棒控制  近空间飞行器  自适应观测器

Anti-interference control of NSV based on adaptive observer
HE Nai-bao,GAO Qian,XU Qi-hua,JIANG Chang-sheng. Anti-interference control of NSV based on adaptive observer[J]. Journal of Zhejiang University(Engineering Science), 2013, 47(4): 650-655. DOI: 10.3785/j.issn.1008-973X.2013.04.013
Authors:HE Nai-bao  GAO Qian  XU Qi-hua  JIANG Chang-sheng
Affiliation:1.School of Electrical Engineering,Huaihai Institute of Technology,Lianyungang 222005,China;2.College of Automatic Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
Abstract:An anti-disturbance control method with fast adaptive disturbance observer was proposed for near-space vehicle (NSV) that would have severely changed aero-dynamic parameters and external disturbances during hypersonic flight. The mathematical model was built for the motion of NSV. Then the anti-disturbance adaptive observer was designed by employing an adaptive law which is based on the adaptive parameters and the compensation term against tracking errors. A nonlinear exponential term was employed into the adaptive law, so that the approaching rapidity of the adaptive disturbances observer was increased. Moreover, the proposed control scheme can make the system errors converge to zero in the finite time. The strict theoretical analysis was driven to analyze the performance of the closed-loop system. The simulation validation was implemented and the simulation results showed the good performance of the proposed control strategy for NSV in rapidity and convergence.
Keywords:
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