将模糊控制与神经网络相结合，设计了一种基于模糊神经网络的快关汽门控制器。该控制器一方面避免了建立数学模型及信号失真带来的麻烦，另一方面又具有自学习、自组织能力。数字仿真结果表明，使用这种快关汽门控制器控制效果好，具有较强的鲁棒性。 Combining fuzzy control and neural network, a fast closing steam valve controller based on fuzzy neural network is designed. The controller not only avoids the trouble of establishing mathematical model and signal distortion, on the other hand, it also has the ability of self-learning and self-organization. Numerical simulation results show that using this fast closing steam valve controller has good control effect and strong robustness.