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
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