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
  • [41] ROBUST MODEL-REFERENCE ADAPTIVE-CONTROL
    KREISSELMEIER, G
    ANDERSON, BDO
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1986, 31 (02) : 127 - 133
  • [42] Robust design guidelines for model reference adaptive control
    Yang, L.
    Neild, S. A.
    Wagg, D. J.
    WCECS 2007: WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, 2007, : 844 - 849
  • [43] Robust model reference adaptive control with disturbance rejection
    Fuentes, RJ
    Balas, MJ
    PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2002, 1-6 : 4003 - 4008
  • [44] A Robust Nonlinear Model Reference Adaptive Control for Disturbed Linear Systems: An LMI Approach
    Franco, Roberto
    Rios, Hector
    de Loza, Alejandra Ferreira
    Efimov, Denis
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (04) : 1937 - 1943
  • [45] Adaptive Control for a Class of Uncertain Nonlinear Systems: Application to Photovoltaic Control Systems
    Jaramillo-Lopez, Fernando
    Kenne, Godpromesse
    Lamnabhi-Lagarrigue, Francoise
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (01) : 393 - 398
  • [46] A robust adaptive model predictive control framework for nonlinear uncertain systems
    Koehler, Johannes
    Koetting, Peter
    Soloperto, Raffaele
    Allgoewer, Frank
    Mueller, Matthias A.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (18) : 8725 - 8749
  • [47] Model reference adaptive control of polytopic LPV systems an alternative approach to adaptive control
    Miyasato, Yoshihiko
    PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL, 2006, : 382 - 387
  • [48] Switching control system based on robust model reference adaptive control
    Qiong Hu
    Qing Fei
    Hongbin Ma
    Qinghe Wu
    Qingbo Geng
    Journal of Systems Science and Complexity, 2016, 29 : 897 - 932
  • [49] Switching Control System Based on Robust Model Reference Adaptive Control
    Hu Qiong
    Fei Qing
    Ma Hongbin
    Wu Qinghe
    Geng Qingbo
    JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2016, 29 (04) : 897 - 932
  • [50] Switching Control System Based on Robust Model Reference Adaptive Control
    HU Qiong
    FEI Qing
    MA Hongbin
    WU Qinghe
    GENG Qingbo
    JournalofSystemsScience&Complexity, 2016, 29 (04) : 897 - 932