A Design Method for Fault Diagnosis of Distributed Flight Control System Based on Multi-Agent Technology
A flight control system and fault diagnosis technology, applied in the field of multi-agent systems, can solve the problems of not considering the transmission characteristics of the system to the energy bounded signal, not applicable to the diagnosis of topological communication error information, and the limitation of application scope.
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Embodiment I
[0088] Simulation example I: Assume that only the first follower node has the following executor failure f(t)=[f 1 (t), f 2 (t)] T :
[0089]
[0090] That is, at 50s, the actuator failure was added to the collective variable.
Embodiment II
[0091] Simulation Example II: Assume that the 3rd and 4th follower nodes fail at the same time, respectively as follows:
[0092] The failure of the third follower node:
[0093]
[0094] Failure of the 4th follower node:
[0095]
[0096] That is, the third follower node added the actuator fault to the longitudinal periodic pitch change at 70s, and the fourth follower node added the actuator fault to the collective pitch variable at 50s.
[0097] As shown in Figure 2, only the first follower node system failure in simulation I is the estimated curve, where: diagram 2-1 is f 1 (t) fault estimation curve, Figure 2-2 is the fault f 1 (t) the true value.
[0098] For simulation II, when the third and fourth follower node systems have actuator failures at the same time, as shown in Figure 3, it is the actuator failure estimation curve of follower node 3, where: Figure 3-1 is f 2 (t) fault estimation curve, Figure 3-2 is the fault f 2 The actual value of (t); as ...
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