【摘要】 将模糊控制和神经控制相结合,设计出一种单神经元模糊自适应控制器的控制策略.该控制策略充分利用了模糊逻辑对非线性的逼近性和神经控制自适应的特点.将该控制策略应用于某水电站混流式发电机组,在两种工况下进行仿真计算,仿真结果表明,该控制策略比常规PID控制系统具有更好的动态性能和适应性.更多还原

【Abstract】 A control strategy for single-neuron fuzzy self-adaptive controllers was designed by combination of fuzzy control with neural control. The strategy made full use of the nonlinear approximation of fuzzy logic and the self-adaptability of neural control. The application of the strategy to the simulation of operation process of mixed flow generating units at a hydropower station in two cases shows that the control strategy is of good dynamic performance and adaptability as compared with the conventional PID control system.更多还原