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基于滑模觀測(cè)和模糊推理的車輛側(cè)翻實(shí)時(shí)預(yù)警技術(shù)
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-time Rollover Prediction for Vehicle Based on Principles of Sliding Mode and Fuzzy Inference System
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    摘要:

    提出一種實(shí)時(shí)的車輛側(cè)傾狀態(tài)觀測(cè)器和側(cè)翻預(yù)警算法。建立一種考慮輪胎力非線性特性的擴(kuò)展3自由度車輛模型,并使用非線性最小二乘法擬合輪胎模型的參數(shù)。在車輛模型的基礎(chǔ)上設(shè)計(jì)了基于超螺旋理論的滑模觀測(cè)器,實(shí)時(shí)觀測(cè)車輛的側(cè)傾狀態(tài)。側(cè)翻預(yù)警算法依據(jù)當(dāng)前車輛狀態(tài)參數(shù)及變化趨勢(shì),通過構(gòu)造模糊推理系統(tǒng)計(jì)算車輛側(cè)翻指數(shù),綜合評(píng)價(jià)車輛側(cè)翻的危險(xiǎn)程度。使用車輛動(dòng)力學(xué)仿真軟件veDYNA進(jìn)行的虛擬道路試驗(yàn)驗(yàn)證了觀測(cè)器的觀測(cè)精度和預(yù)警算法的預(yù)警效果。

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    This paper presented a real-time rollover prediction algorithm based on roll state estimator. An extended 3-DOF vehicle model considering tire nonlinear characteristics was firstly proposed, the parameters of the tire model were obtained by using nonlinear least square method. Vehicle roll state was estimated using sliding mode(SM) observer based on the super twisting algorithm. A rollover critical index(RCI), which indicated the risk of rollover, was developed by a fuzzy inference system(FIS) based on current vehicle state and its trend. The veDYNA dynamic simulation software was used to verify the performances of roll state estimator and roll motion prediction.

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王健,余貴珍,張為,丁能根.基于滑模觀測(cè)和模糊推理的車輛側(cè)翻實(shí)時(shí)預(yù)警技術(shù)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(6):1-6.-time Rollover Prediction for Vehicle Based on Principles of Sliding Mode and Fuzzy Inference System[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(6):1-6.

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