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
  • [31] Adaptive Control with Nonlinear Reference Systems
    Yucelen, Tansel
    Gruenwald, Benjamin
    Muse, Jonathan A.
    De La Torre, Gerardo
    2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 3986 - 3991
  • [32] Model Reference Adaptive Control of Advertising Systems
    Guo, Jiaxing
    Karlsson, Niklas
    2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 5482 - 5487
  • [33] MUTUAL REFERENCE ADAPTIVE-CONTROL OF NONLINEAR UNCERTAIN SYSTEMS
    SKOWRONSKI, JM
    LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES, 1992, 170 : 204 - 217
  • [34] On Model Reference Adaptive Control for Uncertain Dynamical Systems with Unmodeled Dynamics
    Dogan, K. Merve
    Yucelen, Tansel
    Gruenwald, Benjamin C.
    Muse, Jonathan A.
    2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), 2016, : 377 - 382
  • [35] Robust adaptive control scheme for uncertain non-linear model reference adaptive control systems with time-varying delays
    Wu, Hansheng
    Deng, Mingcong
    IET CONTROL THEORY AND APPLICATIONS, 2015, 9 (08): : 1181 - 1189
  • [36] Multivariable model reference adaptive control with application to flight control
    Research Institute of Unmanned Aerial Vehicle, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
    Jiang, X. (jiangxu3703@sina.com), 1600, Beijing University of Aeronautics and Astronautics (BUAA), 37 Xueyuan Rd., Haidian District, Beijing, 100083, China (39):
  • [37] Fuzzy adaptive robust control for a class of uncertain nonlinear systems
    Wu, Haiqing
    Su, Zhan
    Ai, Jun
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 4228 - 4232
  • [38] An adaptive robust control scheme for a class of nonlinear uncertain systems
    Xu, JX
    Lee, TH
    Jia, QW
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1997, 28 (04) : 429 - 434
  • [39] Adaptive Robust Control for a Class of Stochastic Nonlinear Uncertain Systems
    Li, Guifang
    Tian, Yong
    Chen, Ye-Hwa
    IEEE ACCESS, 2020, 8 : 51610 - 51620
  • [40] Robust adaptive fuzzy control for a class of uncertain nonlinear systems
    Yang, YS
    Jia, XL
    Zhou, CJ
    INTELLIGENT TECHNIQUES AND SOFT COMPUTING IN NUCLEAR SCIENCE AND ENGINEERING, 2000, : 303 - 310