飞机配电负荷管理系统的随机模型预测控制设计

B. Shahsavari, Mehdi Maasoumy, A. Sangiovanni-Vincentelli, R. Horowitz
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引用次数: 14

摘要

飞机电力系统(EPS)通过配置一组称为接触器的电子控制开关,将电力从发电机输送到重要的航空电子设备负载。施加在EPS上的外部负载、系统的功率需求、电气元件故障事件和系统的动力学本质上是不确定的。本文研究了EPS接触器的随机最优控制策略设计问题。我们首先表示了EPS不同组件的数学模型,并形式化了系统的性能指标以及在随机建模框架中应满足的约束。然后,我们将系统性能的优化问题表述为一个随机模型预测控制(SMPC)问题,并给出了两个特殊的SMPC分析案例,将该问题近似为线性混合整数优化问题。最后,我们给出了仿真结果来验证所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic model predictive control design for load management system of aircraft electrical power distribution
Aircraft Electric Power Systems (EPS) route power from generators to vital avionics loads by configuring a set of electronic control switches denoted as contactors. The external loads applied to an EPS, power requirement of the system, electrical component failure events, and the dynamics of the system are inherently uncertain. In this paper, we address the problem of designing a stochastic optimal control strategy for the EPS contactors. We first represent mathematical models of different components of an EPS, and formalize the performance metrics of the system as well as the constraints that should be satisfied in a stochastic modeling framework. We then formulate the optimization of the system performance as a stochastic model predictive control (SMPC) problem, and present two special cases of the proposed SMPC analysis to approximate the problem with linear mixed-integer optimization problems. Finally, we report simulation results to confirm the effectiveness of the proposed approach.
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