永磁直线同步电动机模型参考自适应神经元速度控制的仿真  

Simulation of the Neural Element Self-adaptive Speed Control of Permanent Magnet Linear Synchronous Motor

作　　者：张丽娟[1] 罗丹羽[1] 

机构地区：[1]郑州电力高等专科学校电力工程系,河南郑州450004

出　　处：《煤矿机电》2009年第3期48-50,共3页Colliery Mechanical & Electrical Technology

摘　　要：针对永磁直线同步电动机的矢量控制系统,提出了一种模型参考自适应的增益模糊自整定神经元速度控制器。仿真结果表明当突加负载扰动或参数突变时,模型参考自适应的增益模糊自整定神经元速度控制具有响应快、鲁棒性强、较好的动、静态特性等优点。For the vector control system of permanent magnet linear synchronous motor, a new speed controller of model reference self-adaptive plus fuzzy and self-tuning neural element is put forward. The simulation results show that during the sudden mutation load of disturbance or parameters, the speed control of model reference self- adaptive plus fuzzy and self-tuning neural element has the advantages of fast response, robustness, better dynamic and static characteristics.

关 键 词：永磁直线同步电动机 模型参考自适应的增益模糊自整定神经元控制 速度控制器 仿真分析 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]