基于模糊神经网络控制的混合式步进电动机伺服系统研究
Study on the Hybrid Stepping Motor Position Servo System with On-line Trained Fuzzy Neural Network Controller
在对二相混合式步进电动机实行最大转矩/电流矢量控制和IP位置控制的基础上，为克服参数时变和外界扰动对系统性能的影响，本文设计了一种新型高性能的参考模型自适应模糊神经网络控制器。实验结果表明所设计的位置伺服系统具有良好的性能。
Based on vector control and IP position controller, performance of the two-phase hybrid stepping motor servo system, however, still influenced by the parameter variations and external disturbances. To overcome this problem, a novel on-line trained fuzzy neural network controller is presented. Experimental results show the working of the proposed controller.
徐殿国、史敬灼、王泮海
电机自动化技术、自动化技术设备
二相混合式步进电动机 最大转矩/电流控制 IP位置控制 模糊神经网络控制
wo-phase hybrid stepping motor (HBSM) Maximum torque/current control IP Position controller Fuzzy neural network controller
徐殿国,史敬灼,王泮海.基于模糊神经网络控制的混合式步进电动机伺服系统研究[EB/OL].(2004-02-27)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200402-168.点此复制
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