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基于自适应卡尔曼算法的重型半挂车状态估计研究
引用本文:张不扬,宗长富,王化吉,郑宏宇.基于自适应卡尔曼算法的重型半挂车状态估计研究[J].汽车技术,2012(7):1-5.
作者姓名:张不扬  宗长富  王化吉  郑宏宇
作者单位:吉林大学 汽车仿真与控制国家重点实验室
基金项目:国家自然科学基金,中国博士后基金资助项目
摘    要:在建立三轴重型半挂车简化动力学模型的基础上,提出了用于估计重型半挂车运动状态的自适应卡尔曼滤波估计算法。利用动力学软件Trucksim对该估计算法进行了验证,验证结果表明,所提出的自适应卡尔曼滤波算法能够在车速为30 km/h与60 km/h的两种扫频工况下,准确估计重型半挂车横摆角速度和铰接角,为重型半挂车的稳定性控制奠定了基础。

关 键 词:重型半挂车  状态估计  自适应卡尔曼滤波

State Estimation of Heavy Tractor Semitrailers Based on Adaptive Kalman Filter
Zhang Buyang , Zong Changfu , Wang Huaji , Zheng Hongyu.State Estimation of Heavy Tractor Semitrailers Based on Adaptive Kalman Filter[J].Automobile Technology,2012(7):1-5.
Authors:Zhang Buyang  Zong Changfu  Wang Huaji  Zheng Hongyu
Institution:(State Key Laboratory of Automobiles Dynamic Simulation,Jilin University)
Abstract:An estimation algorithm based on Adaptive Kalman filter is developed on the basis of a developed dynamics model of a three-axle heavy tractor-semitrailer.By verifying the estimation results with the real states from Trucksim,it shows that this proposed algorithm can estimate the yaw rate and articulated angle accurately in the sine sweep condition at both the speed 30 km/h and 60 km/h.This research lays a ground for the stability control of heavy tractor-semitrailers.
Keywords:Heavy tractor-semitrailers  State estimation  Adaptive Kalman filter
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