摘要
文章针对无刷电机速度系统固有的问题,分别设计模糊控制器和自适应BP神经网络控制器。通过分析系统的数学模型并建立Simulink仿真平台,对设计的控制器进行验证。仿真结果表明,自适应BP神经网络控制具有超调量小、调节时间短的优点。
In this paper, the fuzzy controller and adaptive BP neural network controller are designed respectively for the inherent problems of the brushless motor speed system. The designed controller is verified by analyzing the mathematical model of the system and establishing the Simulink simulation platform. The simulation results show that the adaptive BP neural network control has the advantages of small overshoot and short adjustment time.
作者
吕丰
李振强
李泽洋
彭缓缓
LV Feng;LI Zhen-qiang;LI Ze-yang;PENG Huan-huan(Guangxi University of Science and Technology,Liuzhou Guangxi 54500)
出处
《数字技术与应用》
2018年第7期14-15,共2页
Digital Technology & Application
基金
广西教育厅项目(0308218801)
