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工程車輛并行自適應(yīng)神經(jīng)網(wǎng)絡(luò)自動(dòng)換擋控制
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    摘要:

    為了解決工程車輛在重載作業(yè)時(shí)傳動(dòng)系統(tǒng)效率大幅下降的問(wèn)題,,以工程車輛“兩參數(shù)”換擋規(guī)律為依據(jù),,提出一種并行自適應(yīng)神經(jīng)網(wǎng)絡(luò)自動(dòng)換擋控制的方法,。結(jié)構(gòu)上由神經(jīng)網(wǎng)絡(luò)控制,、自適應(yīng)神經(jīng)網(wǎng)絡(luò)模型、網(wǎng)絡(luò)評(píng)價(jià)和運(yùn)行監(jiān)控模型組成,。仿真結(jié)果表明,,該控制方法提高了工程車輛液力機(jī)械傳動(dòng)系統(tǒng)效率,有效地克服了神經(jīng)網(wǎng)絡(luò)控制實(shí)時(shí)性差,,難以在工程實(shí)際中應(yīng)用的問(wèn)題,,實(shí)現(xiàn)了換擋控制的智能化。

    Abstract:

    The powertrain efficiency of the engineering vehicle under the heavy load is decreased obviously. In order to solve this problem, the method of parallel self-adaptive neural network was employed based on “two parameters” shift schedule, which of structure include neural network control, self-adaptive neural network model, network evaluation and running monitor model. The simulation results showed that the intelligent shift control could improve the powertrain efficiency of the engineering vehicle, and could overcome the low realtime behavior of neural network in the meantime.

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戴群亮,張邦成,趙丁選.工程車輛并行自適應(yīng)神經(jīng)網(wǎng)絡(luò)自動(dòng)換擋控制[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2007,38(9):34-36.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(9):34-36.

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