利用一种改进的模糊神经网络实现双吊点闸门的同步控制。这种方法把模糊控制和神经网络相结合进行控制系统的建模。与传统的PID 控制方法相比，该控制方法具有自学习和自适应能力，提高了闸门同步控制的精度，增强了系统的抗干扰能力。关 键 词：闸门；同步控制；模糊神经网络Abstract: An improved fuzzy neural network can be developed to implement synchronous control for the double hanging point gate. This way combines fuzzy control with neural networks to build the model of control system. As compared with conventional PID control way, this one has self-taught and adaptive ability, increases the accuracy of synchronous control for the gate and improves the system’s resistance to disturbance.Key words：Gate；Synchronous Control；Fuzzy Neural Network