A Generalization for Model Reference Adaptive Control and Robust Model Reference Adaptive Control Adaptive Laws for a Class of Nonlinear Uncertain Systems with Application to Control of Wing Rock Phenomenon

被引:3
|
作者
Roshanian, J. [1 ]
Rahimzadeh, E. [1 ]
机构
[1] KN Toosi Univ Technol, Dept Aerosp Engn, Tehran, Iran
来源
INTERNATIONAL JOURNAL OF ENGINEERING | 2020年 / 33卷 / 11期
关键词
Lyapunov's Direct Method; Model Reference Adaptive Control; Robust Model Reference Adaptive Control; General Adaptive Laws; Strictly Increasing Function; Wing Rock;
D O I
10.5829/ije.2020.33.11b.28
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Lyapunov's direct method is a primary tool for designing Model Reference Adaptive Control (MRAC) and robust MRAC schemes. In general, Lyapunov function candidates contain two categories of quadratic terms. The first category includes the system tracking error quadratic terms or, in some cases, consist of the system state quadratic terms. The second consists of the parameter estimation error quadratic terms. To design MRAC and Robust MRAC systems, researchers have used a limited variety for choosing quadratic terms. In this study, we consider a general form for the tracking error quadratic terms. We consider a strictly increasing function that belongs to the class of c(1), which is a function of state tracking error quadratic terms. It yields a general structure for stable adaptive laws for updating controller parameters. For the MRAC scheme, the global asymptotic stability of the closed-loop system and stability and uniform bounded tracking of robust MRAC schemes are guaranteed. To evaluate the performance of the designed controllers, we consider the single DOF wing rock dynamics.
引用
收藏
页码:2372 / 2383
页数:12
相关论文
共 50 条
  • [11] Robust model reference adaptive control of nonlinear systems using fuzzy systems
    Chen, CS
    Chen, WL
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1996, 27 (12) : 1435 - 1442
  • [12] Model-Reference Adaptive Moment Control of Uncertain Nonlinear Stochastic Systems
    Beheshtipour, Zohreh
    Khaloozadeh, Hamid
    Amjadifard, Roya
    ASIAN JOURNAL OF CONTROL, 2020, 22 (01) : 266 - 277
  • [13] Robust model reference adaptive control with hybrid adaptive law
    Xie, XJ
    Wu, YQ
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2002, 33 (14) : 1109 - 1119
  • [14] Robust Model Reference Adaptive Intelligent Control
    Prakash, Raghupathy
    Anita, Rajapalan
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2012, 10 (02) : 396 - 406
  • [15] Robust adaptive control of a class of uncertain nonlinear systems
    Wang, HB
    Guo, RL
    Li, TL
    Wang, HR
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 789 - 792
  • [16] Robust adaptive control of a class of nonlinear uncertain systems
    Weiping Bi
    Xiaowu Mu
    Jimin Yu
    Journal of Control Theory and Applications, 2004, 2 (2): : 179 - 184
  • [17] Robust Model Reference Adaptive Intelligent Control
    Raghupathy Prakash
    Rajapalan Anita
    International Journal of Control, Automation and Systems, 2012, 10 : 396 - 406
  • [18] Robust adaptive control of a class of uncertain nonlinear systems
    Wu, Yu-Xiang
    Zhou, Dong-Xia
    Hu, Yue-Ming
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2008, 25 (06): : 1053 - 1058
  • [19] Robust adaptive control of a class of nonlinear uncertain systems
    Weiping BI~1
    2. Department of System Science and Mathematics
    JournalofControlTheoryandApplications, 2004, (02) : 179 - 184
  • [20] Application of a robust model reference adaptive control algorithm to a nonlinear automotive actuator
    di Gaeta A.
    Montanaro U.
    International Journal of Automation and Computing, 2014, 11 (4) : 377 - 391