水轮机调速系统模糊神经PID控制  

Fuzzy-neural-Based PID Controller and its Application in Hydro-turbine Governing System

作　　者：林兰芬[1] 

机构地区：[1]华中科技大学水电与数字化学院,湖北武汉430074

出　　处：《计算技术与自动化》2006年第S2期36-39,共4页Computing Technology and Automation

摘　　要：提出一种模糊神经PID控制算法,该算法采用RBF网络对被控对象进行在线辨识,利用模糊神经网络在线调整PID控制参数。将该算法应用于水轮机调速系统,仿真结果表明该控制算法优于传统的PID控制算法。A algorithm based on fuzzy-neural is proposed to routine PID controller in this paper.It uses RBF network for identification and Fuzzy-neural network for adjusting PID parameter on line.Simulation and analysis show that the proposed algorithm is better than traditional PID controller when it is adopted in the hydro-turbine governing system.

关 键 词：模糊神经网络 PID控制 RBF辨识 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]