集成系统健康管理中健康评估算法研究

Health detection algorithm for integrated system health management

为了得到航天器的组件、分系统,以及系统级的健康状况,使用模糊综合评价算法对航天器的健康状况进行评估.首先选择合适的模糊因数集和隶属度函数,使用模糊综合评价算法对各个组件的健康状况进行评估.然后选择一个合成运算模型,对子系统和系统级的健康状况进行评估.仿真算例表明:该算法具有简单、快速的优点,适合用于航天器健康状况的在线评估.在分布式分级体系结构中应用实时性好,满足集成系统健康管理技术的要求.

To obtain the health status of components, subsystems and systems of aircrafts with Integrated System Health Management （ISHM） technology, the fuzzy synthetic evaluation algorithm was applied to the evaluation of their health status. The set of fuzzy factors and the membership function were selected for the evaluation on the health status of components, such as sensors, actuators, valves, and so on. Then a synthetic operation model with different weights was used to evaluate the health status of subsystems or systems according to the outputs of components or subsystems. The simulation shows that the algorithm is simple and fast when being carried out in distributed and hierarchical architectures. It is suitable to evaluate the health status of spacecrafts on-board and satisfies the requirement of Integrated System Health Management （ISHM）.