The experimental study of neural network control system for a micro turbine engine

In order to deal with the control problems of nonlinearity and difficulty of establishing an exact model of a micro turbine engine, a control algorithm based on neural network is proposed. The RBF neural network can identify the output value online, which is used by the single neuron controller to adjust its parameters based on a gradient algorithm. The simulation and rig test experiments show that, the neural network control algorithm has good real-time characteristic, tracking ability and robustness in the whole working range of 125000 r/min with the over shoot of less than 500 r/min and the stable error of less than 200r/min, which can meet the demands of micro turbine engine state regulation.