文件名称:AF_Control
- 所属分类：
- 人工智能/神经网络/遗传算法
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- 上传时间：
- 2012-11-26
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- 503kb
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- 提 供 者：
- 胡*
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针对LPG电喷发动机过渡工况空燃比难于精确控制的特点，提出了一种将改进Elman神经网络和常规
PI控制算法相结合的空燃比控制方法.其中Elman神经网络用于实现无传输延迟空然比信号的预测，常规PI控制器利用预测信号实现过渡工况下空然比的实时反馈控制.-LPG EFI engine for transient air fuel ratio is difficult to precisely control the characteristics of the improved Elman proposed a neural network and conventional PI control algorithm combined air-fuel ratio control method. Elman neural network in which transmission delay-free air then forecasts than the signal, the conventional PI controller using the transition conditions predicted signal space than the real-time feedback control then.
PI控制算法相结合的空燃比控制方法.其中Elman神经网络用于实现无传输延迟空然比信号的预测，常规PI控制器利用预测信号实现过渡工况下空然比的实时反馈控制.-LPG EFI engine for transient air fuel ratio is difficult to precisely control the characteristics of the improved Elman proposed a neural network and conventional PI control algorithm combined air-fuel ratio control method. Elman neural network in which transmission delay-free air then forecasts than the signal, the conventional PI controller using the transition conditions predicted signal space than the real-time feedback control then.
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基于神经网络的LPG电喷发动机过渡工况空燃比仿真控制.caj