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基于ICR的履帶車輛路徑跟蹤與轉向控制算法研究
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國家重點研發(fā)計劃項目(2022YFD2002004)和云南省教育廳科學研究基金項目(2023J0151)


Path Tracking and Turning Control Algorithm of Tracked Vehicle Based on ICR
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    摘要:

    針對丘陵山區(qū)單邊制動農用履帶車輛路徑跟蹤精度低、控制次數(shù)多,、轉向偏差大等問題,,本文開展不同負載條件下履帶車輛路徑跟蹤控制研究。首先,,對履帶車輛的轉向運動學進行理論分析,,并建立履帶車輛運動學模型;其次,,根據(jù)履帶車輛單邊制動轉向特性,,提出一種基于瞬時旋轉中心(Instantaneous center of rotation,ICR)的大角度轉向控制算法,,該算法能夠根據(jù)規(guī)劃路徑的轉向點位置與履帶車輛轉向瞬心,,規(guī)劃出最優(yōu)的轉向目標點,并控制履帶車輛在該轉向目標點一次性轉向到所需航向,,與此同時,,完成轉向控制器設計;最后,,開展履帶車輛在3種不同負載條件下的仿真試驗與田間試驗,。仿真結果表明,大角度轉向控制算法產生的跟蹤路徑平均誤差面積與平均轉向控制次數(shù)分別降低68.95%,、68.77%,;田間試驗結果表明,大角度轉向控制算法產生的跟蹤路徑平均橫向偏差均值,、平均轉向控制次數(shù)與轉向點處平均最小偏差分別減少57.27%,、33.93%、62.29%,,且路徑跟蹤效果更優(yōu),,驗證了大角度轉向控制算法的有效性。試驗結果滿足履帶車輛路徑跟蹤的要求,,為實現(xiàn)農用履帶車輛的路徑跟蹤提供理論基礎與參考,。

    Abstract:

    Aiming at the problems of low path tracking accuracy, many control times and large turning deviation of unilateral braking agricultural tracked vehicles in hilly and mountainous areas, the path tracking control of tracked vehicles under different load conditions was studied. Firstly, the turning kinematics of the tracked vehicle was theoretically analyzed, and the kinematics model of the tracked vehicle was established. Secondly, according to the unilateral braking turning characteristics of the tracked vehicles, an instantaneous center of rotation was proposed for instantaneous control, which can plan the optimal turning target point, according to the turning point position of the planned path and the turning instantaneous center of the tracked vehicle, and controlling the tracked vehicle to turn to the required course at the turning target point at one time. Meanwhile, the design of the turning controller was completed. Finally, the simulation and field experiments of the tracked vehicle under three different load conditions were carried out. The simulation results showed that the average error area of the tracking path and the average turning control times generated by the large angle turning control algorithm were reduced by 68.95% and 68.77%, respectively. The mean value of the mean lateral deviation of the tracking path, the mean turning control times and the mean minimum deviation of the turning point generated by the large angle turning control algorithm were reduced by 57.27%, 33.93% and 62.29%, respectively. And the path tracking effect was better, which verified the effectiveness of the large angle turning control algorithm. The test results met the requirements of tracked vehicle path tracking and provided a theoretical basis and reference for the path tracking of agricultural tracked vehicles.

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王法安,楊全合,張兆國,李安楠,徐紅偉.基于ICR的履帶車輛路徑跟蹤與轉向控制算法研究[J].農業(yè)機械學報,2024,55(1):386-395,425. WANG Faan, YANG Quanhe, ZHANG Zhaoguo, LI Annan, XU Hongwei. Path Tracking and Turning Control Algorithm of Tracked Vehicle Based on ICR[J]. Transactions of the Chinese Society for Agricultural Machinery,2024,55(1):386-395,425.

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  • 收稿日期:2023-06-12
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  • 在線發(fā)布日期: 2023-10-20
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