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基于神經(jīng)網(wǎng)絡(luò)的汽油HCCI發(fā)動(dòng)機(jī)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(zhì)壓縮燃燒（HCCI）在控制上存在難點(diǎn)，其中關(guān)鍵是基于循環(huán)的空燃比實(shí)時(shí)控制。HCCI汽油機(jī)沒(méi)有能直接表征發(fā)動(dòng)機(jī)每循環(huán)進(jìn)氣量的參數(shù)，因此，采用動(dòng)態(tài)遞歸神經(jīng)網(wǎng)絡(luò)（Elman網(wǎng)絡(luò)）預(yù)測(cè)HCCI發(fā)動(dòng)機(jī)每循環(huán)的進(jìn)氣量。通過(guò)氧傳感器閉環(huán)和瞬態(tài)工況中的油膜補(bǔ)償，實(shí)現(xiàn)對(duì)HCCI發(fā)動(dòng)機(jī)的穩(wěn)態(tài)及瞬態(tài)工況下空燃比的精確控制。試驗(yàn)表明：汽油HCCI發(fā)動(dòng)機(jī)神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)模型及空燃比控制策略能滿足HCCI發(fā)動(dòng)機(jī)實(shí)時(shí)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(luò)的汽油HCCI發(fā)動(dòng)機(jī)空燃比控制策略[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),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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