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基于滑模觀測和模糊推理的車輛側翻實時預警技術
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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:

    提出一種實時的車輛側傾狀態(tài)觀測器和側翻預警算法,。建立一種考慮輪胎力非線性特性的擴展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),。在車輛模型的基礎上設計了基于超螺旋理論的滑模觀測器,，實時觀測車輛的側傾狀態(tài)。側翻預警算法依據當前車輛狀態(tài)參數(shù)及變化趨勢,，通過構造模糊推理系統(tǒng)計算車輛側翻指數(shù),，綜合評價車輛側翻的危險程度。使用車輛動力學仿真軟件veDYNA進行的虛擬道路試驗驗證了觀測器的觀測精度和預警算法的預警效果,。

    Abstract:

    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.基于滑模觀測和模糊推理的車輛側翻實時預警技術[J].農業(yè)機械學報,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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