A noise environment-oriented unmanned aerial vehicle formation adaptive anti-disturbance fault diagnosis method

Abstract

The application discloses a kind of unmanned aerial vehicle formation adaptive anti-interference fault diagnosis methods for noise environment, it is related to unmanned aerial vehicle fault diagnosis technical field, comprising: obtaining observation signal;Based on adaptive particle swarm optimization algorithm, with the envelope entropy of intrinsic mode function component obtained after observation signal is decomposed by variational mode decomposition as optimization goal, dynamically search and determine the VMD parameter combination including penalty factor and mode component number, to re-decompose observation signal, select effective intrinsic mode function component to reconstruct, obtain noise reduction signal;Based on noise reduction signal and formation system model, extract formation consistency key features including position error average consistency feature and speed error average consistency feature;The formation consistency key features are fused and reasoned using confidence rule base, the evaluation of the overall fault state of unmanned aerial vehicle formation system that can be adaptively filtered out interference while maintaining transparent reasoning process is realized.

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