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基于擴展卡爾曼濾波的車輛質量與道路坡度估計
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國家高技術研究發(fā)展計劃(863計劃)資助項目(2012AA111712)、高等學校博士學科點專項科研基金資助項目(20120061110027)、吉林大學“985”工程資助項目和長江學者和創(chuàng)新團隊發(fā)展計劃資助項目(IRT1017)


ehicle Mass and Road Grade Estimation Based on Extended Kalman Filter
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    摘要:

    針對車輛自動變速器控制系統(tǒng)難以實時測得車輛質量與道路坡度參數這一問題,運用最優(yōu)估計理論,以車輛縱向動力學模型為基礎,建立系統(tǒng)的狀態(tài)空間模型,運用前向歐拉法將過程方程離散化,進一步對非線性過程方程進行近似線性化,獲得過程方程向量函數的Jacobian矩陣,實現了基于擴展卡爾曼濾波(EKF)的車輛質量及道路坡度估計算法。在Matlab/Simulink仿真平臺下,進行了實車道路試驗數據的離線仿真。仿真結果表明,該算法可有效估計車輛質量及道路坡度,能夠滿足車輛自動變速器控制系統(tǒng)的要求。

    Abstract:

    To solve the problem that vehicle mass and road grade in automatic transmission control system are difficult to measure, the state-space model of system was established based on the vehicle longitudinal dynamic model, using the optimal estimation theory. The forward Euler method was adopted for discretization of the process equation. The Jacobian of the process equation was calculated for linearization of the non-linear process function. Then, the vehicle mass and road grade estimation algorithm using extended kalman filter was developed. The simulation using road test data was carried out in Matlab/Simulink environment. The simulation results show that this algorithm could estimate vehicle mass and road grade effectively and meet the requirements of the automatic transmission control system.

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雷雨龍,付 堯,劉 科,曾華兵,張元俠.基于擴展卡爾曼濾波的車輛質量與道路坡度估計[J].農業(yè)機械學報,2014,45(11):9-14. Lei Yulong, Fu Yao, Liu Ke, Zeng Huabing, Zhang Yuanxia. ehicle Mass and Road Grade Estimation Based on Extended Kalman Filter[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(11):9-14.

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  • 收稿日期:2013-12-26
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  • 在線發(fā)布日期: 2014-11-10
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