A Physics-Guided Coordinated Distributed MPC Method for Shape Control of an Antenna Reflector

Abstract

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.

Generalized super-twisting sliding mode control of permanent magnet synchronous motor based on sinusoidal saturation function

“…Therefore, scholars around the world put forward many controllers to replace PI controllers, such as fuzzy control [6,7,8,9,10], active disturbance rejection control [11,12,13,14,15,16], model predictive control [17,18,19,20,21], adaptive control [22], etc. Sliding mode variable structure control has attracted more and more attention due to its low requirements on model accuracy and strong robustness to parameter perturbation and external disturbance [23].…”