Model-based control strategies for systems with constraints of the program type

被引:0
|
作者
Institute of Aircraft Engineering and Applied Mechanics, Warsaw University of Technology, Nowowiejska 24 str., 00-665 Warsaw, Poland [1 ]
机构
来源
Comm. Nonlinear Sci. Numer. Simul. | 2006年 / 5卷 / 606-623期
关键词
Differential equations - Equations of motion - Force control - Lagrange multipliers - Mathematical models - Mathematical transformations - Matrix algebra - Motion control - Tracking (position) - Vectors;
D O I
10.1016/j.cnsns.2005.01.006
中图分类号
学科分类号
摘要
The paper presents a model-based tracking control strategy for constrained mechanical systems. Constraints we consider can be material and non-material ones referred to as program constraints. The program constraint equations represent tasks put upon system motions and they can be differential equations of orders higher than one or two, and be non-integrable. The tracking control strategy relies upon two dynamic models: a reference model, which is a dynamic model of a system with arbitrary order differential constraints and a dynamic control model. The reference model serves as a motion planner, which generates inputs to the dynamic control model. It is based upon a generalized program motion equations (GPME) method. The method enables to combine material and program constraints and merge them both into the motion equations. Lagrange's equations with multipliers are the peculiar case of the GPME, since they can be applied to systems with constraints of first orders. Our tracking strategy referred to as a model reference program motion tracking control strategy enables tracking of any program motion predefined by the program constraints. It extends the trajectory tracking to the program motion tracking. We also demonstrate that our tracking strategy can be extended to a hybrid program motion/force tracking. © 2005 Elsevier B.V. All rights reserved.
引用
收藏
相关论文
共 50 条
  • [1] From model-based strategies to intelligent control systems
    Dumitrache, Ioan
    PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON AUTOMATION AND INFORMATION, 2008, : 408 - +
  • [2] Identification strategies for model-based control
    Cordier, Laurent
    Noack, Bernd R.
    Tissot, Gilles
    Lehnasch, Guillaume
    Delville, Joel
    Balajewicz, Maciej
    Daviller, Guillaume
    Niven, Robert K.
    EXPERIMENTS IN FLUIDS, 2013, 54 (08)
  • [3] Identification strategies for model-based control
    Laurent Cordier
    Bernd R. Noack
    Gilles Tissot
    Guillaume Lehnasch
    Joël Delville
    Maciej Balajewicz
    Guillaume Daviller
    Robert K. Niven
    Experiments in Fluids, 2013, 54
  • [4] Event-triggering control for model-based networked control systems under communication constraints
    Zhou, Liuyang
    Yan, Zhibin
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 6841 - 6846
  • [5] On the applicability of advanced model-based strategies to control of electrified vehicle thermal systems
    Karimshoushtari, Milad
    Kordestani, Mojtaba
    Shojaei, Sina
    Donmez, Bilge Kagan
    Rashid, Muzamil
    Weslati, Feisel
    Bouyoucef, Kamal
    ENERGY, 2023, 283
  • [6] On the model-based control of networked systems
    Montestruque, LA
    Antsaklis, PJ
    AUTOMATICA, 2003, 39 (10) : 1837 - 1843
  • [7] Model-based Strategies of Drug Dosing for Pharmacokinetic Systems
    Themans, Pauline
    Musuamba, Flora T.
    Winkin, Joseph J.
    IFAC PAPERSONLINE, 2020, 53 (02): : 16061 - 16068
  • [8] Machine learning model-based optimal tracking control of nonlinear affine systems with safety constraints
    Wang, Yujia
    Wu, Zhe
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025, 35 (02) : 511 - 535
  • [9] Input-to-state stability of model-based spacecraft formation control systems with communication constraints
    Liu, Xi
    Kumar, K. D.
    ACTA ASTRONAUTICA, 2011, 68 (11-12) : 1847 - 1859
  • [10] Model-Based Evaluation of Strategies to Control Brucellosis in China
    Li, Ming-Tao
    Sun, Gui-Quan
    Zhang, Wen-Yi
    Jin, Zhen
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2017, 14 (03)