TY - JOUR
T1 - A physics-guided coordinated distributed MPC method for shape control of an antenna reflector
AU - Li, Fei
AU - Peng, Haijun
AU - Song, Xiangshuai
AU - Liu, Jinguo
AU - Tan, Shujun
AU - Ju, Zhaojie
PY - 2021/3/30
Y1 - 2021/3/30
N2 - Active shape control for an antenna reflector is a significant procedure used to compensate the impacts for a complicated space environment. In this paper, a physics-guided distributed model predictive control (DMPC) framework for reflector shape control with input saturation is proposed. First, guided by the actual physical characteristics, an overall structural system is decomposed into multilevel subsystems with the help of a so-called substructuring technique. For each subsystem, a prediction model with information interaction is discretized by an explicit Newmark-β method. Then, to improve the systemwide control performance, a coordinator among all the subsystems is designed in an iterative fashion. The input saturation constraints are addressed by transforming the original problem into a linear complementarity problem (LCP). Finally, by solving the LCP, the input trajectory can be obtained. The performance of the proposed DMPC algorithm is validated through an experiment on the shape control of an antenna reflector structure.
AB - Active shape control for an antenna reflector is a significant procedure used to compensate the impacts for a complicated space environment. In this paper, a physics-guided distributed model predictive control (DMPC) framework for reflector shape control with input saturation is proposed. First, guided by the actual physical characteristics, an overall structural system is decomposed into multilevel subsystems with the help of a so-called substructuring technique. For each subsystem, a prediction model with information interaction is discretized by an explicit Newmark-β method. Then, to improve the systemwide control performance, a coordinator among all the subsystems is designed in an iterative fashion. The input saturation constraints are addressed by transforming the original problem into a linear complementarity problem (LCP). Finally, by solving the LCP, the input trajectory can be obtained. The performance of the proposed DMPC algorithm is validated through an experiment on the shape control of an antenna reflector structure.
U2 - 10.1109/TCYB.2021.3064071
DO - 10.1109/TCYB.2021.3064071
M3 - Article
SN - 2168-2267
JO - IEEE Transactions on Cybernetics
JF - IEEE Transactions on Cybernetics
ER -