论文部分内容阅读
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（BackPropagation）网络自适应变步长学习算法，提高了系统精度，改善了系统品质，并将这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这种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 based on adaptive gain adjustment and an adaptive variable step learning algorithm based on BP (BackPropagation) network are proposed, which improves system accuracy and improves System quality, and successfully applied this method to the design of helicopter flight control system. At the same time, the digital simulation of a helicopter proved the advantages and good effects of this method.