微型水力发电机组的T-S模糊神经网络控制器  

A T-S Fuzzy Neural Network Controller for the Micro-hydroelectric Generating Set

作　　者：张圣明[1] 

机构地区：[1]国网张家口供电公司,河北张家口075000

出　　处：《电气自动化》2017年第1期74-77,共4页Electrical Automation

摘　　要：随着能源短缺现象的加剧,全球能源互联网的提出,微型水力发电越来越被人们重视。详细分析了模糊控制、神经网络以及TS模糊神经网络结构和算法,针对微型水力发电机系统的非线性和时变性的特点,构件了微型水力发电机组的T-S模糊神经网络控制器,采用MATLAB/Simulink仿真软件,在动态负载条件下对该微型水力发电机组进行仿真,分析了突甩负载和突加负载对机械功率、转子速度、频率和电压的影响,并与PID控制器进行比较。其仿真结果表明,所建立的T-S模糊神经网络控制器动态特性模型符合工程实际,满足系统的稳定性要求,具有良好的稳定性和鲁棒性。With aggravation of energy shortage and presentation of the global energy Internet, more and more attention is paid to micro- hydroelectric generation. This article analyses fuzzy control, neural network as well as the structure and algorithm of the T-S fuzzy neural network. With respect to the non-linear and time varied characteristics of the micro-hydroelectric generating system, we establish a T-S fussy neutral network controller for the micro-hydroelectric generation set. Matlab/Simulink simulation software is used to simulate the micro-hydroelectric generator set under dynamic load. The impact of sudden load and shock load upon mechanical power, rotor speed, frequency and voltage are analyzed, and comparison with PID controller is made. The simulation results show that the model of dynamic characteristics of the established T-S fuzzy neural network controller accords with actual engineering, meets the requirement on system stability and has good stability and robustness.

关 键 词：模糊控制 神经网络 T—S模糊神经网络控制器 微型水力发电机组 MATLAB/SIMULINK仿真 

分 类 号：TM612[电气工程—电力系统及自动化]