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基于無跡卡爾曼濾波的車輛狀態(tài)與參數(shù)估計
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國家高技術(shù)研究發(fā)展計劃(863計劃)資助項目(2008AA11A146)


State and Parameters Estimation of Vehicle Based on UKF
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    摘要:

    準(zhǔn)確獲取車輛運(yùn)動過程中的狀態(tài)變量和時變模型參數(shù)可以提高動力學(xué)控制的魯棒性,。引入了車輛模型時變參數(shù)的概念,,建立了車輛動力學(xué)狀態(tài)空間模型,,應(yīng)用無跡卡爾曼濾波(UKF)算法對車輛狀態(tài)變量和參數(shù)進(jìn)行了估計,。與車輛動力學(xué)軟件CarMaker建立的參考模型對比表明,該估計方法具有可行性和準(zhǔn)確性,。在估計系統(tǒng)中,提出含自適應(yīng)參數(shù)的簡化魔術(shù)公式來表達(dá)輪胎側(cè)偏力,減少了模型參數(shù),,并且實(shí)現(xiàn)了對輪胎側(cè)向力的準(zhǔn)確估計。

    Abstract:

    Accurate estimation of vehicle state variables and uncertain parameters can improve the robustness of vehicle dynamic control system. The concept of uncertain vehicle parameter-set was proposed. The state space model for the estimation system was established. The estimation of the state variables and uncertain parameter-set were completed based on the UKF theory. The comparison with the reference model showed that the estimation method was effective and could get the precise results. A transformed magic formula tire model was also proposed to calculate the cornering force in the estimation process. The tire model reduced the parameters and could realize the precise estimation of tire lateral force. 

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解少博,林程.基于無跡卡爾曼濾波的車輛狀態(tài)與參數(shù)估計[J].農(nóng)業(yè)機(jī)械學(xué)報,2011,42(12):6-12. Xie Shaobo, Lin Cheng. State and Parameters Estimation of Vehicle Based on UKF[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(12):6-12.

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  • 在線發(fā)布日期: 2011-12-19
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