讨论了模糊逻辑控制与神经网络相结合的一种控制方法，给出了一种增益自适应调整的模糊控制方法和ＢＰ网络自适应变步长学习算法，前者提高了系统对参数变化的适应能力，同时也提高了系统的控制精度，改善了系统品质，后者缩短了网络的学习时间，有利于实时控制的实现。这两种方法成功地用于直升机飞控系统的设计。同时，针对某型直升机用数字仿真证明了该方法的优点和良好效果 A control method based on fuzzy logic control and neural network is discussed. A fuzzy control method of gain adaptive adjustment and adaptive variable step learning algorithm of BP network are given. The former improves the adaptability of the system to parameter changes , But also improve the control accuracy of the system and improve the system quality, the latter shorten the learning time of the network is conducive to the realization of real-time control. Both of these methods are successfully used in helicopter flight control system design. At the same time, the numerical simulation of a helicopter has proved its advantages and good results