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基于神經(jīng)網(wǎng)絡的汽油HCCI發(fā)動機空燃比控制策略
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/Fuel Ratio Control of Gasoline HCCI Engine Based on Neural Network
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    摘要:

    均質壓縮燃燒（HCCI）在控制上存在難點，其中關鍵是基于循環(huán)的空燃比實時控制,。HCCI汽油機沒有能直接表征發(fā)動機每循環(huán)進氣量的參數(shù),，因此,，采用動態(tài)遞歸神經(jīng)網(wǎng)絡（Elman網(wǎng)絡）預測HCCI發(fā)動機每循環(huán)的進氣量,。通過氧傳感器閉環(huán)和瞬態(tài)工況中的油膜補償,，實現(xiàn)對HCCI發(fā)動機的穩(wěn)態(tài)及瞬態(tài)工況下空燃比的精確控制,。試驗表明：汽油HCCI發(fā)動機神經(jīng)網(wǎng)絡預測模型及空燃比控制策略能滿足HCCI發(fā)動機實時控制的需求,。

    Abstract:

    Homogeneous charge compression ignition (HCCI) combustion is still confronted with problems in cycle-to-cycle air/fuel ratio control. Because there are no parameters that characterize air inflow in each cycle, dynamic recurrent neural network (Elman) was adopted for forecasting engine's air inflow in each cycle. Based on accurate air inflow in each cycle, accurate air/fuel ratio control is achieved in steady and transient operating conditions by oxygen sensor's closed loop control and fuel film’s compensation. The experiment results show that prediction model based on neural network and air/fuel ratio control strategy can meet the need of realtime control over HCCI operation. 

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周能輝,謝輝,趙華,陳韜.基于神經(jīng)網(wǎng)絡的汽油HCCI發(fā)動機空燃比控制策略[J].農(nóng)業(yè)機械學報,2009,40(6):1-5./Fuel Ratio Control of Gasoline HCCI Engine Based on Neural Network[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(6):1-5.

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