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

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.