Model Predictive Control for Satellite Formation Keeping Based n Genetic Algorithm

被引：0
|
作者：
Xu, Nuo [1 ]
Lin, Jinxing [1 ]
Miao, Yuhang [1 ]
Gao, Zhifeng [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
satellite formation; predictive control; genetic algorithm; parameter optimization;
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：
This paper presents a genetic-algorithm-based predictive control strategy to solve the control problem of satellite formation keeping. First, the relative dynamic model of satellites considering J(2) perturbation in elliptic reference orbit is introduced. Then, a predictive controller is proposed to realize the control of the satellite formation. Moreover, in order to improve the control performance, the predictive control parameters P, M, q and r are optimized by genetic algorithm online. Simulation results show that the performance of predictive controller based on genetic algorithm is better than that of the traditional predictive controller.
引用
收藏
页码：1918 / 1923
页数：6
相关论文
共 50 条
  • [41] Nonlinear Model Predictive Control Algorithm Based on Filter-trust-region Method
    Zhao Min
    Song Pingping
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 4069 - 4074
  • [42] Gradient Projection Based Algorithm for Large Scale Real Time Model Predictive Control
    Santin, Ondrej
    Havlena, Vladimir
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 3898 - 3903
  • [43] Multi-objective output-feedback control for satellite formation keeping: An LMI approach
    Wu, Bao-Lin
    He, Dong-Lei
    Cao, Xi-Bin
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 528 - +
  • [44] Optimising Control and Prediction Horizons of a Model Predictive Control-Based Motion Cueing Algorithm Using Butterfly Optimization Algorithm
    Qazani, Mohammad Reza Chalak
    Jalali, Seyed Mohammad Jafar
    Asadi, Houshyar
    Nahavandi, Saeid
    2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2020,
  • [45] Adaptive Predictive Control of Induction Motors with On Line Parameter Estimation Using a Modified Genetic Algorithm
    Raptis, D. S.
    Kladas, A. G.
    2019 IEEE WORKSHOP ON ELECTRICAL MACHINES DESIGN, CONTROL AND DAGNOSIS (WEMDCD), VOL 1, 2019, : 103 - 108
  • [46] Application of Model Predictive Control Algorithm on a Hydro Turbine Governor Control
    Beus, Mateo
    Pandzic, Hrvoje
    2018 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2018,
  • [47] Research of Satellite Scheduling for Area Target Based Genetic Algorithm
    Wang, Maocai
    Song, Zhiming
    Dai, Guangming
    AEIT 2012: 2012 2ND INTERNATIONAL CONFERENCE ON AEROSPACE ENGINEERING AND INFORMATION TECHNOLOGY, VOL 2, 2012, : 362 - 367
  • [48] Research of arterial traffic coordinated fuzzy control model based on genetic algorithm
    Li, Ruimin
    Lu, Huapu
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 8597 - +
  • [49] Genetic Algorithm-Based Sliding Mode Control of a Human Arm Model
    Kheshti, M. R.
    Tavakolpour-Saleh, A. R.
    Razavi-Far, R.
    Zarei, J.
    Saif, M.
    IFAC PAPERSONLINE, 2022, 55 (10): : 2968 - 2973
  • [50] Genetic Algorithm Based Intelligent Station-keeping for Spherical Underwater Robot
    Prasad, Bhuneshwar
    Agrawal, Alok
    Viswanathan, Vinothkumar
    Chowdhury, Abhra Roy
    Kumar, Rajesh
    Panda, S. K.
    2015 IEEE UNDERWATER TECHNOLOGY (UT), 2015,
12345