关键词: 航空发动机;RBF神经网络+;单神经元网络+;多变量控制+;解耦控制+

Abstract: To solve the coupling problem in aeroengine multivariable control system,a method of single neuron decoupling control based on RBF network identification model was put forward.For multiple engine control loops,one loop engine model was real-timely identified by one RBF network.The sensitivity information was real-time feed back to the loop controller so that the loop single neuron controller can exactly control the engine.Finally,the decoupling control of aeroengine was realized.With simulation of some turbofan engine in the full flight envelope,the results show that the proposed method is independent on the aeroengine precise model and it can effectively reduce the coupling influence between loops.The controlled plant has good dynamic and static performances and the method applied to aeroengine is effective.

Key words: Aeroengine;RBF neural network+;Single neuron network+;Multivariable control+;Decoupling control+