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基于ICR的履帶車輛路徑跟蹤與轉(zhuǎn)向控制算法研究
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國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2022YFD2002004)和云南省教育廳科學(xué)研究基金項(xiàng)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(nóng)用履帶車輛路徑跟蹤精度低、控制次數(shù)多、轉(zhuǎn)向偏差大等問題,本文開展不同負(fù)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(zhuǎn)向運(yùn)動學(xué)進(jìn)行理論分析,并建立履帶車輛運(yùn)動學(xué)模型;其次,根據(jù)履帶車輛單邊制動轉(zhuǎn)向特性,提出一種基于瞬時旋轉(zhuǎn)中心(Instantaneous center of rotation,ICR)的大角度轉(zhuǎn)向控制算法,該算法能夠根據(jù)規(guī)劃路徑的轉(zhuǎn)向點(diǎn)位置與履帶車輛轉(zhuǎn)向瞬心,規(guī)劃出最優(yōu)的轉(zhuǎn)向目標(biāo)點(diǎn),并控制履帶車輛在該轉(zhuǎn)向目標(biāo)點(diǎn)一次性轉(zhuǎn)向到所需航向,與此同時,完成轉(zhuǎn)向控制器設(shè)計(jì);最后,開展履帶車輛在3種不同負(fù)載條件下的仿真試驗(yàn)與田間試驗(yàn)。仿真結(jié)果表明,大角度轉(zhuǎn)向控制算法產(chǎn)生的跟蹤路徑平均誤差面積與平均轉(zhuǎn)向控制次數(shù)分別降低68.95%、68.77%;田間試驗(yàn)結(jié)果表明,大角度轉(zhuǎn)向控制算法產(chǎn)生的跟蹤路徑平均橫向偏差均值、平均轉(zhuǎn)向控制次數(shù)與轉(zhuǎn)向點(diǎn)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(yàn)證了大角度轉(zhuǎn)向控制算法的有效性。試驗(yàn)結(jié)果滿足履帶車輛路徑跟蹤的要求,為實(shí)現(xiàn)農(nóng)用履帶車輛的路徑跟蹤提供理論基礎(chǔ)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(zhuǎn)向控制算法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),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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