摘要
本文提出一种基于神经网络实现智能PID控制的策略。该策略不需要被控对象的精确模型，以经典的PID为基础，用神经网络实现，在给定评价函数下进行自学习。将其应用于单机运行的水轮机组频率扰动和负荷扰动仿真试验中，结果表明该策略对于被控系统的严重非线性有很好的适应性和鲁棒性。
Intelligent PID control for hydro-turbine governing system based on the realization of neural networks is discussed in this paper. In the new regulation method, an evaluating function which can evaluate the control effect is introduced to decide whether the on-line operate data can be chosen as the leaming samples to train the neural net regulator and the leamirig strength, the self organized Iearning and control is realized. Applied it to the frequency and load disturbance experiment of the hydro-turbine at an isolated network, the simulation results show the effectiveness of the method.
出处
《大电机技术》
EI
北大核心
1997年第5期56-60,共5页
Large Electric Machine and Hydraulic Turbine
关键词
智能PID调节
神经网络
水轮机
intelligent PID control neural network evaluating function
