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基于神經(jīng)網(wǎng)絡(luò)的空氣懸架系統(tǒng)匹配優(yōu)
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Network Optimization on Matching of Air Suspension System
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    摘要:

    建立了空氣懸架雙質(zhì)量模型,提出了基于RBF神經(jīng)網(wǎng)絡(luò)優(yōu)化的系統(tǒng)阻尼和空氣彈簧匹配的優(yōu)化方法,。匹配求優(yōu)時,,選取車身加速度和輪胎動載荷加權(quán)和最小值為優(yōu)化目標(biāo),,以懸架動行程最大值為約束,。仿真結(jié)果表明,客車的平順性和輪胎接地性都得到改善,。臺架試驗與仿真結(jié)果基本吻合,。

    Abstract:

    A double-mass model of air suspension was established. The method based on RBF network for matching optimization of air suspension systems damping and air spring was proposed. When the best match was chose, the vehicle body acceleration and wheels dynamic load were selected for minimum optimization objectives and the suspension dynamic travel was the constraint condition. Simulation results show that the bus ride comfort and road holding ability were improved. The simulation results agree with the testing data of the test bench.

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楊啟耀,周孔亢,李敬東,徐興,袁春元.基于神經(jīng)網(wǎng)絡(luò)的空氣懸架系統(tǒng)匹配優(yōu)[J].農(nóng)業(yè)機械學(xué)報,2009,40(4):18-22. Network Optimization on Matching of Air Suspension System[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(4):18-22.

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