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氫燃料發(fā)動機(jī)點火正時控制優(yōu)化
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    摘要:

    在氫燃料發(fā)動機(jī)試驗的基礎(chǔ)上，利用RBF神經(jīng)網(wǎng)絡(luò)良好的輸入輸出映射關(guān)系，建立起以最佳點火提前角為轉(zhuǎn)速、負(fù)荷函數(shù)的優(yōu)化控制數(shù)學(xué)模型。數(shù)字信號處理（DSP）芯片具有快速實時控制的優(yōu)勢，將其用于優(yōu)化控制氫燃料發(fā)動機(jī)的點火提前角。基于RBF神經(jīng)網(wǎng)絡(luò)進(jìn)行了仿真并與試驗結(jié)果進(jìn)行對比，結(jié)果表明：點火提前角最大絕對誤差0.41°CA，最大相對誤差1.5%。該優(yōu)化控制模型能準(zhǔn)確地獲取氫燃料發(fā)動機(jī)最佳點火提前角。

    Abstract:

    On the basis of experiment on hydrogen-fueled engine, an advanced ignition angel optimization model, which was the function of rotating speed and loading, was established by the input-output satisfactory relation of radial basis function (RBF) neural network. Digital signal processor (DSP) with quick operation to digital signal was applied to keep optimized control over the advanced ignition angel. Moreover, the calculating results with RBF neural network were contrasted with the experimental results. The results indicated that the optimized control model could accurately forecast the ignition timing of the hydrogen-fueled engine. 

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王麗君,司愛國,劉海潮,楊振中,葛臨東.氫燃料發(fā)動機(jī)點火正時控制優(yōu)化[J].農(nóng)業(yè)機(jī)械學(xué)報,2008,39(3):19-22.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(3):19-22.

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