Multiple-horizon multiple-model predictive control of electromagnetic tethered satellite system

被引:9
|
作者
AlandiHallaj, MohammadAmin [1 ]
Assadian, Nima [1 ]
机构
[1] Sharif Univ Technol, Dept Aerosp Engn, Tehran, Iran
关键词
Tethered satellites system; Electromagnetic formation; Model predictive control; Multiple-horizon multiple-model predictive control;
D O I
10.1016/j.actaastro.2018.11.003
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This study aims to investigate the control of the electromagnetic tethered satellite system using a Model Predictive Control (MPC) scheme. The electromagnetic tethered satellite system is actuated by electromagnetic coils to generate controlling forces. The dynamical model of the system is described in high and low levels of accuracy, which are used to design the control framework. Multiple-Horizon Multiple-Model Predictive Control approach is employed to drive the formation to the desired state. Not only does the presented control law satisfy input and output constraints but also has appropriate characteristics in the sense of optimality. The main benefit of using Multiple-Horizon Multiple-Model Predictive Control is having lower computational burden than the classical MPC. The numerical simulation results are presented and compared with sliding mode control to demonstrate the effectiveness of the proposed control method and its advantage over both classical MPC and sliding mode control methods. The obtained results show dramatic reductions in computational time and consumed energy compared to the classical MPC and sliding model control methods, respectively.
引用
收藏
页码:250 / 262
页数:13
相关论文
共 50 条
  • [1] Asteroid precision landing via Probabilistic Multiple-Horizon Multiple-Model Predictive Control
    AlandiHallaj, MohammadAmin
    Assadian, Nima
    [J]. ACTA ASTRONAUTICA, 2019, 161 : 531 - 541
  • [2] Soft landing on an irregular shape asteroid using Multiple-Horizon Multiple-Model Predictive Control
    AlandiHallaj, MohammadAmin
    Assadian, Nima
    [J]. ACTA ASTRONAUTICA, 2017, 140 : 225 - 234
  • [3] Finite-time asteroid hovering via multiple-overlapping-horizon multiple-model predictive control
    Alandihallaj, M. Amin
    Assadian, Nima
    Varatharajoo, Renuganth
    [J]. ADVANCES IN SPACE RESEARCH, 2023, 71 (01) : 645 - 653
  • [4] Multiple-model adaptive explicit predictive control for nonlinear MIMO system
    Dutta, Lakshmi
    Das, Dushmanta Kumar
    [J]. JOURNAL OF CONTROL AND DECISION, 2024,
  • [5] Multiple Horizon Model Predictive Flight Control
    Medagoda, Eran D. B.
    Gibbens, Peter W.
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2014, 37 (03) : 946 - 951
  • [6] Stabilization Control of the Tethered Satellite System Using Nonlinear Model Predictive Control
    Liu Gang
    Li Chuanjiang
    Ma Guangfu
    Huang Jing
    [J]. 2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 7679 - 7684
  • [7] Application of Multiple-model Adaptive Control in Interconnected Power System
    Zhang, Xiaoying
    Dang, Cunlu
    Wen, Huixia
    [J]. 2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [8] Nonlinear disturbance observer based multiple-model adaptive explicit model predictive control for nonlinear MIMO system
    Dutta, Lakshmi
    Kumar Das, Dushmanta
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (11) : 5934 - 5955
  • [9] Experimental studies on multiple-model predictive control for automated regulation of hemodynamic variables
    Rao, RR
    Aufderheide, B
    Bequette, BW
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2003, 50 (03) : 277 - 288
  • [10] Switchback effect of holographic complexity in multiple-horizon black holes
    Jiang, Jie
    Chen, Zhaohui
    Liu, Chengcheng
    [J]. EUROPEAN PHYSICAL JOURNAL C, 2020, 80 (04):