永磁同步风力发电机的神经网络自适应内模控制  

Adaptive Neural Network Internal Model Control of Permanent Magnet Synchronous Generator

作　　者：舒筠佳[1,2] 戴曙光[1] 薛花[2] 

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093 [2]上海电力学院电力与自动化工程学院,上海200090

出　　处：《仪表技术》2012年第4期34-36,共3页Instrumentation Technology

摘　　要：为了提高永磁同步风力发电机的调速性能,结合自适应内模控制,将神经网络方法用于永磁同步风力发电机调速控制系统,设计了神经网络自适应速度控制器。基于MATLAB的仿真结果证明,神经网络自适应内模控制系统有很强的自适应能力和抗负载扰动能力,控制系统具有良好的静、动态特性。novel high performance robust speed controller for permanent magnet synchronous generator is proposed in order to improve its timing performance. The contribution of this work is the novel combination of an Adaptive Neural Network Internal Model controller with BLDCM, which provides an advanced robust control system. The simulation mod- el is established based on the MATLAB/SIMULINK. Simulation results show good adaptive performance and free from load disturbance. It also shows very good static and dynamic performance in a wide range of operation conditions inclu- ding model parameter variations.

关 键 词：神经网络 自适应内模控制 永磁同步风力发电机 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]