A method of terminal sliding mode control was put forward for aero-engine with uncertainty and strong nonlinearity based on radical basis function (RBF) neural network.The method integrated neural network control into sliding mode control.Shortage of traditional exponent reaching law was analyzed

and an improved exponent reaching law was proposed to weaken the chattering.Controller was devised using terminal sliding mode surface.And influence caused by unknown disturbance and uncertainty was compensated by RBF neural network in a real-time manner.Simulation results show that the devised controller has good effect

effectively restrains the influence and weakens the chattering.