Lattice piecewise affine approximation of explicit model predictive control with application to satellite attitude control

Zhengqi Xu, Jun Xu, Ai-Guo Wu, Shuning Wang
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Abstract

Satellite attitude cotrol is a crucial part of aerospace technology, and model predictive control(MPC) is one of the most promising controllers in this area, which will be less effective if real-time online optimization can not be achieved. Explicit MPC converts the online calculation into a table lookup process, however the solution is difficult to obtain if the system dimension is high or the constraints are complex. The lattice piecewise affine(PWA) function was used to represent the control law of explicit MPC, although the online calculation complexity is reduced, the offline calculation is still prohibitive for complex problems. In this paper, we use the sample points in the feasible region with their corresponding affine functions to construct the lattice PWA approximation of the optimal MPC controller designed for satellite attitude control. The asymptotic stability of satellite attitude control system under lattice PWA approximation has been proven, and simulations are executed to verify that the proposed method can achieve almost the same performance as linear online MPC with much lower online computational complexity and use less fuel than LQR method.
应用于卫星姿态控制的显式模型预测控制的晶格片状仿射近似法
卫星姿态控制是航空航天技术的重要组成部分,而模型预测控制(MPC)是这一领域最有前途的控制器之一,如果不能实现实时在线优化,其效果将大打折扣。显式 MPC 将在线计算转换为表格查找过程,但如果系统维度较高或约束条件复杂,则很难获得解决方案。显式 MPC 采用网格片断仿射(PWA)函数来表示控制律,虽然降低了在线计算的复杂度,但对于复杂问题,离线计算仍然令人望而却步。本文利用可行区域内的样本点及其对应的仿射函数,构建了用于卫星姿态控制的网格 PWA 近似最优 MPC 控制器。仿真结果表明,与 LQR 方法相比,本文提出的方法在线计算复杂度更低,耗费的燃料更少,几乎可以达到与线性在线 MPC 相同的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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