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油氣懸架動(dòng)態(tài)力的識(shí)別
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    摘要:

    將BP神經(jīng)網(wǎng)絡(luò)應(yīng)用于油氣懸架動(dòng)態(tài)力的識(shí)別，建立了帶有油氣懸架的1/4車輛系統(tǒng)動(dòng)態(tài)模型，并根據(jù)車輛懸架系統(tǒng)模型建立了神經(jīng)網(wǎng)絡(luò)模型，利用油氣懸架的輸入、輸出信息進(jìn)行油氣懸架動(dòng)態(tài)力的識(shí)別，并與等效線性方法相比較，獲得了比較滿意的結(jié)果，為油氣懸架的理論計(jì)算、設(shè)計(jì)及主動(dòng)控制提供了一種參數(shù)識(shí)別的方法。

    Abstract:

    BP artificial neural network was applied in the research of identifying dynamic force of hydro-pneumatic suspension. A dynamic model of 1/4 vehicle with hydro-pneumatic suspension was built and a neural network was established based on this suspension model. Dynamic force of hydro-pneumatic suspension was identified by input and output data of hydro-pneumatic suspension. Identifying results of neural network and equivalent linearity were compared. Identifying results of neural network are better than equivalent linearity. It provided a new method for calculation, designing and active controlling of hydro-pneumatic suspension.

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楊斌,范文杰,張子達(dá),陸爽.油氣懸架動(dòng)態(tài)力的識(shí)別[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2007,38(4):16-18.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(4):16-18.

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