无刷直流电机的模糊神经网络滑模速度控制器设计
Brushless DC motor speed controller of fuzzy neural network sliding mode design
本文设计了一种无刷直流电动机的新型高性能模糊神经网络滑模速度控制器。该控制器具有如下优点:减小了变结构控制带来的抖振,在保证系统稳定性的同时加快了响应速度,解决了传统的变结构控制器设计需要事先测定扰动量范围的问题,仿真实验表明,可以使BLDC的整体性能得到显著改善,是一种无刷直流电动机的高性能速度控制器。
he design of a brushless DC motor of the new high-performance fuzzy neural network sliding mode speed controller. The controller has the following advantages: reducing the structural changes brought about by the buffeting control, to ensure the stability of the system at the same time to speed up the response time to address the changing structure of the traditional controller design prior determination of the scope of disturbance, simulation Experiments show that the BLDC will enable the overall performance improved significantly, isahigh-performance brushless DC motor speed controller.
钟灶生
电机自动化技术、自动化技术设备
模糊神经网络滑模控制无刷直流电机BLDC
fuzzy neural networksliding touch controlbrushless DC motorBLDC
钟灶生.无刷直流电机的模糊神经网络滑模速度控制器设计[EB/OL].(2010-05-04)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201005-33.点此复制
评论