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基于補(bǔ)償自適應(yīng)控制算法的車(chē)輛狀態(tài)參數(shù)估計(jì)
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國(guó)家自然科學(xué)基金資助項(xiàng)目(51175043,、51205022)


Estimation of Vehicle Status Parameters Based on Compensation Adaptive Control Algorithm
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    摘要:

    為實(shí)現(xiàn)用于車(chē)輛動(dòng)力學(xué)穩(wěn)定性控制的狀態(tài)參數(shù)準(zhǔn)確估計(jì),,基于自適應(yīng)控制理論,針對(duì)三自由度車(chē)輛動(dòng)力學(xué)模型,,提出一種補(bǔ)償更新律自適應(yīng)控制估計(jì)方法,該方法能夠?qū)崿F(xiàn)對(duì)縱向車(chē)速,、車(chē)輛質(zhì)量及轉(zhuǎn)動(dòng)慣量的估計(jì),。通過(guò)原地起步直線加速工況和雙移線工況的仿真和硬件在環(huán)仿真試驗(yàn),表明該方法能夠?qū)崿F(xiàn)對(duì)運(yùn)動(dòng)狀態(tài)的快速跟蹤及參數(shù)的準(zhǔn)確估計(jì),,滿足車(chē)輛在線估計(jì)需求,。

    Abstract:

    Accurate estimation of vehicle status parameters is important to vehicle stability control. Combination of 3-DOF vehicle dynamics model and adaptive control algorithm, proposed a method that modifies adaptive law through compensation was proposed to estimate vehicle parameters correctly. Bases on the method, the vehicle dynamics model was simplified to reduce the calculation burden and improve the real time performance. The starting and acceleration driving conditon and double lane change conditon were designed for the simulation and the hardware-in-loop test. Finally, both the simulation results and hardware-in-loop test results indicate that the proposed method could estimate the vehicle mass and moment of inertia more precisely and faster compared to the adaptive algorithm without compensation and satisfy the requirement of vehicle online estimation.

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林 程,周逢軍,徐志峰,曹萬(wàn)科,董愛(ài)道.基于補(bǔ)償自適應(yīng)控制算法的車(chē)輛狀態(tài)參數(shù)估計(jì)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2014,45(11):1-8. Lin Cheng, Zhou Fengjun, Xu Zhifeng, Cao Wanke, Dong Aidao. Estimation of Vehicle Status Parameters Based on Compensation Adaptive Control Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(11):1-8.

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  • 收稿日期:2013-12-13
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  • 在線發(fā)布日期: 2014-11-10
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