Characteristic model-based generalized predictive control and its application to the parafoil and payload system

被引:5
|
作者
Tan, Panlong [1 ]
Sun, Qinglin [2 ]
Chen, Zengqiang [2 ]
Jiang, Yuxin [2 ]
机构
[1] Tianjin Sino German Univ Appl Sci, Coll Intelligent Mfg, 2 Yashen Rd,Haihe Educ Pk, Tianjin 300350, Peoples R China
[2] Nankai Univ, Coll Artificial Intelligence, Tianjin, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
characteristic model (CM); generalized predictive control (GPC); parafoil and payload system; trajectory tracking;
D O I
10.1002/oca.2506
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Generalized predictive control (GPC) has been applied in systems to improve the control performance during the last decades. The designing of predictive model is the essential and vital problem in GPC application. Using characteristic model (CM) as predictive model in GPC can simplify the modeling procedure and improve computing efficiency of GPC. The CM is a kind of simple and easy-to-use dynamic model that is equivalent with precise model. Moreover, the creation of CM requires less system information than the practical models. The GPC with CM as predictive model named characteristic model-based generalized predictive control (CMGPC) is proposed in this paper, and it is used in the trajectory tracking control for parafoil and payload system. Simulations and analysis prove that CMGPC is equivalent to traditional GPC and CMGPC is a more efficient way for trajectory tracking of parafoil and payload system compared with conventional proportional integral derivative (PID) method.
引用
收藏
页码:659 / 675
页数:17
相关论文
共 50 条
  • [1] Model predictive control of a parafoil and payload system
    Slegers, N
    Costello, M
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2005, 28 (04) : 816 - 821
  • [2] Aspects of control for a parafoil and payload system
    Slegers, N
    Costello, M
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2003, 26 (06) : 898 - 905
  • [3] Characteristic Model-based Generalized Predictive Control for Electro-hydraulic System with Dead-zones and Parameter Uncertainty
    Liu, Shengfei
    Sun, Qinglin
    Chen, Zengqiang
    Dong, Fangyou
    IFAC PAPERSONLINE, 2018, 51 (20): : 287 - 294
  • [4] Model-based predictive control for generalized production planning problems
    Tzafestas, S
    Kapsiotis, G
    Kyriannakis, E
    COMPUTERS IN INDUSTRY, 1997, 34 (02) : 201 - 210
  • [5] Fuzzy model-based Smith predictive control and its application in superheated steam temperature control
    Guo, JZ
    Liu, WD
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 1227 - 1230
  • [6] Autonomous Homing of Parafoil and Payload System Based on ADRC
    Jiao, Hang
    Sun, Qinglin
    Kang, Xiaofeng
    Chen, Zengqiang
    Liu, Zhongxin
    CONTROL ENGINEERING AND APPLIED INFORMATICS, 2011, 13 (03): : 25 - 31
  • [7] Improved generalized predictive control and its application in temperature system
    Deng, Li
    Huang, Yan
    Fei, Minrui
    Zheng, Min
    Jiang, Jing
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2014, 35 (05): : 1057 - 1064
  • [8] Characteristic model-based robust predictive control for reentry hypersonic vehicle with constraints
    Zhu Shengzhen
    Li Yahui
    Zhang Jun
    Sun Tairen
    2016 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2016, : 634 - 639
  • [9] RBF-ARX model-based trust region nonlinear model predictive control and its application on magnetic levitation ball system
    Peng, Tianbo
    Peng, Hui
    Kang, Tiao
    NONLINEAR DYNAMICS, 2024, : 2521 - 2543
  • [10] Model-Based Predictive Force Control in Milling - System Identification
    Adams, O.
    Klocke, F.
    Schwenzer, M.
    Stemmler, S.
    Abel, D.
    3RD INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE: NEW CHALLENGES FOR PRODUCT AND PRODUCTION ENGINEERING, 2016, 26 : 214 - 220