In order to solve the problem of on-line adjustments of PID parameter, proposes a new method of fuzzy neural network adaptive PID control in direct current (DC) speed regulating system aiming at advocate-drag system of Dragon-planer. Analyze constitution of electric device at planer, integrate advantages of neural network and fuzzy control, That is a fuzzy neural network control be composed by combination of neural network with fuzzy logic system and PID controller, and then composing fuzzy neural network controller, process system simulation through MATALAB. In design, fuzzy rule is integrated into neural network. The control principles of fuzzy neural network controller are taken to realize adjustment of fuzzy rule and membership function parameter by self-learning adaptive ability. The simulation result shows that the system has good dynamic and static characteristic than general controller.