Title A Generalized Predictive Control-Based Path Following Method for Parafoil Systems in Wind Environments
Authors Tao, Jin
Dehmer, Matthias
Xie, Guangming
Zhou, Quan
Affiliation Aalto Univ, Dept Elect Engn & Automat, Espoo 02150, Finland
Peking Univ, Coll Engn, Beijing 100871, Peoples R China
Univ Appl Sci Upper Austria, A-4040 Steyr, Austria
Keywords Automatic control
modelling
parafoil system
wind environment
computational fluid dynamics
path following control
generalized predictive control
Issue Date 2019
Publisher IEEE ACCESS
Abstract Parafoil systems represent flexible wing vehicles. In case a vehicle is flying at low altitude, it is well known that the vehicle is more susceptible to winds. Also, due to the nonlinear, large inertial existing within the system, traditional control methods, such as traditional proportional-integral-derivative (PID), cannot guarantee the quality of path following. Therefore, we here apply generalized predictive control (GPC)-based method for parafoil systems to follow the designed path for a better control effect. To achieve this, we first propose a novel modeling method based on computational fluid dynamics to build a dynamic model of the parafoil system in windy environments. Afterward, a guidance law is designed according to a hybrid approach that combines the cross track error and the line of sight. In addition, the path following controller is established by using GPC. Finally, we generate and interpret numerical results to demonstrate the feasibility of the horizontal path following method in windy environments by utilizing the semi-physical simulation platform. The achieved results show that the GPC controller achieves high precision path following. More precisely, it possesses a better anti-wind ability and tracking accuracy and, therefore, the method outperforms PID controller.
URI http://hdl.handle.net/20.500.11897/551925
ISSN 2169-3536
DOI 10.1109/ACCESS.2019.2905632
Indexed SCI(E)
EI
Appears in Collections: 工学院

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