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In view of the characteristics of time-varying and non-linear characteristics of the ECU control system of the micro-turbojet engine, in order to improve the control performance of the micro-turbojet engine control system, the fuzzy neural network PID control method is applied to the speed and thrust control system of the ECU. First, using the test data of a micro-turbojet engine to obtain its mathematical model through the system identification method, and secondly, the fuzzy neural network control method is introduced to control the micro-turbojet engine ECU system for the drawback of fuzzy PID online parameter adjustment. In order to simulate the interference problems encountered by the engine in the process of operation, interference signals were added to the simulation process. Through comparison and verification with the simulation results of traditional PID and fuzzy PID, it is found that the fuzzy neural network PID control system is better.It has a faster and faster stability,the amount of modulation is smaller, and the time to restore a stable state in the presence of interference is shorter.