当航空发动机从最大状态进入加力状态时，发动机参数将产生很大变化。如何保证发动机平稳地进入加力状态一直是航空发动机控制所关心的问题。本文利用ＢＰ网络作为某双转子涡轮喷气发动机主、加力状态的控制器。并利用另一ＢＰ网络映射被控对象。仿真结果表明ＢＰ神经网络控制器可以很好地控制发动机进入加力状态。 When the aeroengine enters the booster state from the maximum state, the engine parameters will greatly change. How to ensure that the engine smoothly enters the state of force has been a concern of aeroengine control. In this paper, BP network is used as the controller of the main and afterburner of a two-rotor turbojet. And use another BP network to map the controlled object. Simulation results show that the BP neural network controller can control the engine well into the state of force.