在经历初始故障条件的过驱动系统中风险管理的负荷分配

Brian Bole, Douglas W. Brown, Hailong Pei, K. Goebel, L. Tang, G. Vachtsevanos
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引用次数: 1

摘要

本文研究了一类常见的早期故障模式的容错控制问题,这些故障模式的严重程度随组件负载的增加而增加。假设有一个预测模型可用于评估早期故障模式发展为灾难性故障条件的风险,那么从根本上说,故障自适应控制问题是调整组件负载以使故障风险最小化,同时不会过度降低标称性能。提出了一种方法,将该问题作为有限水平约束优化,其中约束对应于最大失效风险和最大允许偏离标称性能。给出了一个具有主动冗余直流电机结构的实例系统的仿真结果。该系统模拟的故障模式是温度相关的电机绕组绝缘退化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load allocation for risk management in overactuated systems experiencing incipient failure conditions
This paper examines the fault tolerant control problem for a generic class of incipient failure modes that grow in severity as a function of component loading. Assuming that a prognostic model is available to evaluate the risk of incipient fault modes growing into catastrophic failure conditions, then fundamentally the fault adaptive control problem is to adjust component loads to minimize risk of failure, while not overly degrading nominal performance. A methodology is proposed for posing this problem as a finite horizon constrained optimization, where constraints correspond to maximum risk of failure and maximum allowable deviation from nominal performance. Simulation results are given for an example system with an active redundant DC motor configuration. The fault mode simulated in this system is temperature dependent motor winding insulation degradation.
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