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采用了多智能体系统方法对飞机系统的舵面故障诊断问题进行分析。首先从飞机系统的复杂性角度分析了该方法对其进行故障诊断的适应性,然后提出了对组成飞机舵面故障诊断系统的各智能体进行分类、建模和编码的方法,并在此基础上提出了故障诊断智能体的交互模型。在仿真实例中,采用Simulink建立了F-16飞机的仿真模型,用JADE平台构造了故障识别智能体以通过数据融合来对具体的舵面故障进行诊断,并利用MAC-Sim建立了Simulink与JADE平台之间的信息互通。仿真结果说明,该方法能够通过智能体的交互与协作来实现飞机舵面单故障和组合故障的在线协同诊断。
The multi-agent system method is used to analyze the fault diagnosis of the aircraft’s control surface. First of all, it analyzes the adaptability of this method to fault diagnosis from the point of view of the complexity of the aircraft system. Then, it proposes a method of classification, modeling and coding for each agent that compose the fault diagnosis system of aircraft surface. Put forward the interactive model of fault diagnosis agent. In the simulation example, the simulation model of F-16 aircraft is established by using Simulink, the fault identification agent is constructed by JADE platform to diagnose the fault of the control surface through data fusion, and the Simulink and JADE Information exchange between platforms. The simulation results show that this method can realize online collaborative diagnosis of single fault and combined fault on the aircraft’s control surface through the interaction and collaboration of agents.