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。
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 st^ed and quality.The neural network and fuzzy control are eombined to design fuzzy neural network controller to charge the MH-Ni battery intelligently. The Matlab stimulation results show that the voltage ehanges placidly and this method can shorten the charge time and realize intelligent ebarge of MH-Ni battery.
出处
《控制工程》
CSCD
2007年第5期476-478,共3页
Control Engineering of China
作者简介
张秀玲（1968-），女，山东章丘人，教授，博士，主要从事神经网络智能控制等方面的教学与科研工作。
