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
  • [21] Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator
    Alessandro di Gaeta
    Umberto Montanaro
    International Journal of Automation and Computing, 2014, (04) : 377 - 391
  • [22] Application of a Robust Model Reference Adaptive Control Algorithm to a Nonlinear Automotive Actuator
    Alessandro di Gaeta
    Umberto Montanaro
    International Journal of Automation & Computing, 2014, 11 (04) : 377 - 391
  • [23] Adaptive control for uncertain dynamical systems with nonlinear reference systems
    Gruenwald, Benjamin C.
    Yucelen, Tansel
    De La Torre, Gerardo
    Muse, Jonathan A.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2020, 51 (04) : 687 - 703
  • [24] Model reference adaptive control for nonlinear system
    Sheng, Tingwen
    Cao, Lianqun
    Huadong Gongxueyuan Xuebao, 1992, (01):
  • [25] Model reference nonlinear adaptive control with observer
    Tsuji, T
    Hao, SH
    Yang, ZJ
    PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1996, : 4681 - 4682
  • [26] COMPOSITE MODEL REFERENCE ADAPTIVE CONTROL FOR A CLASS OF NONLINEAR FRACTIONAL ORDER SYSTEMS
    Wei, Yiheng
    Liang, Shu
    Hu, Yangsheng
    Wang, Yong
    INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2015, VOL 9, 2016,
  • [27] A robust model reference adaptive control for nonminimum phase systems
    H. Mejhed
    M. Makoudi
    L. Radouane
    Circuits, Systems and Signal Processing, 2001, 20 : 63 - 76
  • [28] A robust model reference adaptive control for nonminimum phase systems
    Mejhed, H
    Makoudi, M
    Radouane, L
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2001, 20 (01) : 63 - 76
  • [29] Model reference adaptive control of nonlinear systems with canonical structure
    Murgas, J
    Miklovicová, E
    NEW TRENDS IN DESIGN OF CONTROL SYSTEMS 1997, 1998, : 475 - 479
  • [30] Adaptive Cruise Control: A Model Reference Adaptive Control Approach
    Abdullahi, Adamu
    Akkaya, Sirin
    2020 24TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2020, : 904 - 908