基于模糊小脑模型的水轮机调速控制

A Hydraulic Turbine Speed Governor Based on Fuzzy Cerebellar Model

水轮机调速器是控制水轮机输出机械功率的关键设备,是水轮发电机组控制的重要内容。针对非线性复杂时变水轮机调速器,研究了一种模糊小脑模型关节控制器,该智能控制器是一种模糊逻辑与小脑模型关节控制器的结合,集中了二者的优点和长处。分析了该控制器的结构、具体实现以及学习优化。仿真实验表明该智能控制器的实际效果良好。

Hydraulic turbine speed governor is the key mechanical equipment to control the hydraulic turbine power output, and it is also an important part of the generators control. In this paper, a novel fuzzy cerebellar model articulation controller （FCMAC） for complex nonlinear time-varying hydraulic turbine speed governor is proposed. The FCMAC controller is a combination of fuzzy logic and eerebellar model articulation controller, so it includes the advantages of these two computational intelligence method. This paper describes the structure, implementation and learning optimization algorithms for the proposed FCMAC controller. Simulation results show that the intelligent controller has good performance.