Adaptive control system for realization of decoupled motion of aircraft with required dynamic precision

被引:0
|
作者
Vershinin, YA [1 ]
机构
[1] Coventry Univ, Sch Engn, Coventry CV1 5FB, W Midlands, England
来源
INTELLIGENT AUTONOMOUS VEHICLES 2001 | 2002年
关键词
decoupled subsystems; dynamic behaviour; adaptive control; Lyapunov equation; model reference; multivariable systems;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The requirements to maneuver a modem aircraft involve the development and realization of advanced control of a longitudinal and lateral aircraft motion. The manual control system for independent motion control of an aircraft on rolling and sideslip angles is given in (Guskov and Zagainov, 1980). The system depends upon a real-time measurement of air-dynamic coefficients of the aircraft, or requires the information from the tabulated parameters on all regimes of the aircraft motion. However, methods of precise measurement of air-dynamic coefficients in non-stationary conditions of the aircraft motion are not yet available at the present time. The exact parameters for all regimes of the aircraft motion cannot be obtained from a-priory measurements either. Therefore, a complete decoupled motion of an aircraft cannot be achieved. In this paper the solution for a decoupled motion of an aircraft is obtained in the class of non-searching adaptive control systems with a reference model (Petrov et. al, 1980). The new algorithms developed in this paper achieve a decoupled motion with desirable dynamic precision even in the conditions of high non-stationary of parameters. The robustness of the control system to the interaction of subsystems is accomplished as well. Copyright (C) 2001 IFAC.
引用
收藏
页码:345 / 350
页数:6
相关论文
共 50 条
  • [21] Dynamic adaptive control algorithm based on the realization of Kalman filter
    Lavrinova, L. N.
    Lavrinov, V. V.
    Lukin, V. P.
    OPTICS IN ATMOSPHERIC PROPAGATION AND ADAPTIVE SYSTEMS XX, 2017, 10425
  • [22] A FLEXIBLE SYSTEM FOR ADAPTIVE MOTION CONTROL
    ASTROM, KJ
    CARLSSON, A
    KANNIAH, J
    MECHATRONICS, 1994, 4 (02) : 99 - 112
  • [23] Adaptive robust motion control of linear motors for precision manufacturing
    Yao, B
    Xu, L
    MECHATRONICS, 2002, 12 (04) : 595 - 616
  • [24] Adaptive robust precision motion control of a piezoelectric positioning stage
    Zhong, Jinghua
    Yao, Bin
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2008, 16 (05) : 1039 - 1046
  • [25] Precision Motion Control Based on a Periodic Adaptive Disturbance Observer
    Cho, Kwanghyun
    Park, Heeram
    Choi, Seibum
    Oh, Sehoon
    38TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2012), 2012, : 3832 - 3837
  • [26] Motion control of precision positioning systems using adaptive compensation
    Kim, BK
    Chung, WK
    PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2002, 1-6 : 4589 - 4594
  • [27] Adaptive iterative learning control for high precision motion systems
    Rotariu, Iuliana
    Steinbuch, Maarten
    Ellenbroek, Rogier
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2008, 16 (05) : 1075 - 1082
  • [28] Design of Aircraft Control System Based on Adaptive Optimal Control
    Qiang, A. Jiajiu
    Meng, B. Xiuyun
    Wu, C. Guanghui
    2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2018,
  • [29] Design of Adaptive Backstepping Control for Aircraft Generator Control System
    Fan, Xianrong
    Li, Zhaodi
    Tao, Yufei
    Wang, Yufeng
    Feng, Shouhong
    Li, Weilin
    6TH IEEE INTERNATIONAL CONFERENCE ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE 2021), 2021, : 92 - 97
  • [30] Dynamic simulation of the aircraft environmental control system
    He, J. (hejun123@263.net), 1600, Chinese Journal of Aeronautics (14):