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基于模糊神经网络控制的镍氢电池智能充电
引用本文:张秀玲,宋建军. 基于模糊神经网络控制的镍氢电池智能充电[J]. 控制工程, 2007, 14(5): 476-478
作者姓名:张秀玲  宋建军
作者单位:燕山大学,电气工程学院,河北,秦皇岛,066004;燕山大学,电气工程学院,河北,秦皇岛,066004
摘    要:镍氢蓄电池是具有复杂性和离散性的非线性系统,为其所建的数学模型或者不准确或者太复杂,现有的镍氢蓄电池充电技术一直不太完善,严重地影响了充电速度与质量。针对这一问题,将神经网络与模糊控制相结合,设计了模糊神经网络控制器,用于对MH-Ni蓄电池进行智能充电。通过Matlab仿真,发现充电过程中电压变化平稳,充电时间短,达到了控制要求。

关 键 词:模糊神经网络  智能充电  MH-Ni电池
文章编号:1671-7848(2007)05-0476-03
修稿时间:2006-07-08

Intelligent Charge of MH-Ni Battery Based on Fuzzy Neural Network Control
ZHANG Xiu-ling,SONG Jian-jun. Intelligent Charge of MH-Ni Battery Based on Fuzzy Neural Network Control[J]. Control Engineering of China, 2007, 14(5): 476-478
Authors:ZHANG Xiu-ling  SONG Jian-jun
Abstract:MH-Ni battery is a complex nonlinear and discrete system whose mathematic model is much more complex and inaccurate.Existing charge technology of MH-Ni battery is faultiness,which affects gravely charging speed and quality.The neural network and fuzzy control are combined to design fuzzy neural network controller to charge the MH-Ni battery intelligently.The Matlab stimulation results show that the voltage changes placidly and this method can shorten the charge time and realize intelligent charge of MH-Ni battery.
Keywords:fuzzy neural network  intelligent charge  MH-Ni battery
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