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汽車懸架參數(shù)的多目標(biāo)多標(biāo)準(zhǔn)決策優(yōu)
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-objective and Multi-criteria Decision Optimization of Automobile Suspension Parameters
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    摘要:

    為了改善汽車行駛的舒適性、安全性并減小輪胎動(dòng)載對(duì)路面的破壞,，以某載貨汽車的四自由度懸架系統(tǒng)為研究對(duì)象，將車速分別為50,、80和100km/h在A、B和C級(jí)路面行駛的車身垂直加速度,、前后輪胎動(dòng)載荷的統(tǒng)計(jì)均方根值作為目標(biāo),，用多目標(biāo)遺傳算法和多標(biāo)準(zhǔn)決策方法進(jìn)行了優(yōu)化。結(jié)果表明：車身垂直加速度均方根值平均減小了40%,，前后輪動(dòng)載荷均方根值平均減小了30%,，性能有較大改善，并且采用后期多標(biāo)準(zhǔn)決策方法,，可以同時(shí)求得滿足不同設(shè)計(jì)需求的最優(yōu)解,，較傳統(tǒng)多目標(biāo)優(yōu)化方法更為實(shí)用有效。

    Abstract:

    For improving automobile ride comfort, safety and decreasing tire dynamic load to road, the four degree of freedom suspension model was established. MOGA (multi-object genetic algorithm) and multi-criteria decision method were applied to multi-objective optimization of suspension parameters, with root-mean-square values of vertical acceleration of body, front and rear tire load at 50, 80 and 100?km/h on A,B and C level road as objective functions. The results show that on average, root-mean-square value of vertical acceleration of body reduces by 40%, root-mean-square value of dynamic load of front and rear wheel reduces by 30%, and the performance gets better. This method, making decision after searching the Pareto solutions, can help the designer get the best answer under different demand. Compared with the traditional multi-objective optimization method, it is more applicable and effective.

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王濤.汽車懸架參數(shù)的多目標(biāo)多標(biāo)準(zhǔn)決策優(yōu)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(4):27-32.-objective and Multi-criteria Decision Optimization of Automobile Suspension Parameters[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(4):27-32.

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