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Obstacle-avoiding stability control method of tractor in tea plantation based on Bezier curve optimization
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(1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2. Tencent Yantai New Engineering Research Institute, Yantai, Shandong 264000, China; 3. Baosheng System Integration Technology Co., Ltd., Yangzhou, Jiangsu 225800, China)
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Abstract To solve the safety problems of tractors in tea plantation (TTP) in obstacle avoidance turning with rollover and overturn, an obstacle avoidance stable path control method was proposed based on Bezier curve optimization. The kinematics analysis was carried out according to operation scene and operation stability, and the safety operation characteristics of TTP were systematically analyzed. The obstacle avoidance path planning system framework and the Bezier curve path optimization method were designed. The path fitted by this method had the advantages of smooth path, continuous curvature with the same curvature at the beginning and end. TTP model and ramp obstacle avoidance environment model were established on CarSim simulation platform to verify and analyze two important operation stability parameters of yaw velocity and sideslip angle. The results show that TTP has good running stability when the running speed is less than the steering limit speed under the path fitted by Bezier curve. When the steering speed exceeds 65.1% of the steering limit speed, the overshooting rates of yaw velocity and the centroid sideslip angle reach 50.3% and 78.6%, respectively. At the same time, with the increasing of slope, TTP stability can be further deteriorated even if the speed is kept below the limit speed. When the slope angle is increased by 10°, the overshoot rates of yaw velocity and the centroid sideslip angle reach 32.8% and 14.5% on average,respectively.
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Received: 25 February 2022
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[1] |
梁军,马志怡,盘朝奉,等.基于模糊神经网络的茶园拖拉机远程故障诊断系统[J].江苏大学学报(自然科学版),2021,42(5):533-539.
|
|
LIANG J, MA Z Y, PAN C F, et al. Remote fault diagnosis system of tea garden tractor based on fuzzy neural network[J]. Journal of Jiangsu University (Natural Science Edition), 2021, 42(5): 533-539. (in Chinese)
|
[2] |
韩冰,徐立友.轮式拖拉机转向特性仿真分析[J].科学技术与工程,2021,21(4):1608-1614.
|
|
HAN B, XU L Y. Simulation of wheeled tractor steering[J]. Science Technology and Engineering, 2021, 21(4):1608-1614. (in Chinese)
|
[3] |
郭成洋,刘美辰,高泽宁,等.基于改进人工势场法的农机避障方法研究[J].中国农机化学报,2020,41(3):152-157.
|
|
GUO C Y, LIU M C, GAO Z N, et al. Research on agricultural machinery obstacle avoidance method based on improved artificial potential field method[J]. Journal of Chinese Agricultural Mechanization,2020,41(3):152-157. (in Chinese)
|
[4] |
陶金京,廖敏,潘群林,等.轮式拖拉机悬挂农具机组静态纵向稳定性[J].科学技术与工程,2019,19(34):108-115.
|
|
TAO J J,LIAO M,PAN Q L,et al. Static longitudinal stability of wheeled tractor hanging farm implements unit[J]. Science Technology and Engineering, 2019, 19(34): 108-115. (in Chinese)
|
[5] |
唐兆家,王凤花,喻黎明.轮式拖拉机行驶稳定性分析[J].农业装备与车辆工程,2018,56(5):15-19.
|
|
TANG Z J, WANG F H, YU L M. Driving stability analysis of wheeled tractor[J]. Agricultural Equipment & Vehicle Engineering, 2018, 56(5):15-19. (in Chinese)
|
[6] |
张战文,杨福增,张振平.履带式拖拉机坡道行驶稳定性分析[J].农业装备与车辆工程,2010(11):7-10.
|
|
ZHANG Z W, YANG F Z, ZHANG Z P. Analysis on driving stability of caterpillar tractor on ramp[J]. Agricultural Equipment & Vehicle Engineering, 2010(11):7-10. (in Chinese)
|
[7] |
YANG H T, XIA C G, HAN J Y, et al. Analysis of stability and dynamic model simulation of mountain tractor rollover[C]∥IOP Conference Series: Earth and Environmental Science, DOI:10.1088/1755-1315/512/1/012151.
|
[8] |
VAN NGUYEN N, HARADA Y, TAKIMOTOH, et al. Measurement of static lateral stability angle and roll moment of inertia for agricultural tractors with attached implements[J]. Journal of Agricultural Safety and Health, 2020, 26(1): 15-29.
|
[9] |
TROYANOVSKAYA I, ZHAKOV A, GREBENSHCHIKOVAO, et al. Directional stability of an agricultu-ral tractor[J]. FME Transactions, 2021, 49(2): 456-462.
|
[10] |
严国军,贲能军,顾建华,等.基于MPC的无人驾驶拖拉机轨迹跟踪控制[J].重庆交通大学学报(自然科学版),2019,38(9):1-6.
|
|
YAN G J, BEN N J, GU J H, et al. Trajectory tracking control of intelligent tractor based on MPC algorithm[J]. Journal of Chongqing Jiaotong University (Natural Science), 2019, 38(9):1-6. (in Chinese)
|
[11] |
孙柱.无人驾驶车辆避障的局部路径规划与跟踪控制研究[D].哈尔滨:东北林业大学,2021.
|
[12] |
奚小波,史扬杰,单翔,等.基于Bezier曲线优化的农机自动驾驶避障控制方法[J].农业工程学报,2019,35(19):82-88.
|
|
XI X B, SHI Y J, SHAN X, et al. Obstacle avoidance path control method for agricultural machinery automatic driving based on optimized Bezier [J]. Transactions of the CSAE, 2019, 35(19):82-88. (in Chinese)
|
[13] |
LIU C Q, ZHAO X Y, DU Y F, et al. Research on static path planning method of small obstacles for automatic navigation of agricultural machinery[J]. IFAC-Papers OnLine, 2018, 51(17): 673-677.
|
[14] |
曹如月,张振乾,李世超,等.基于改进A*算法和Bezier曲线的多机协同全局路径规划[J].农业机械学报,2021,52(增刊1):548-554.
|
|
CAO R Y, ZHANG Z Q, LI S C, et al. Multi-machine cooperation global path planning based on A-star algorithm and Bezier curve[J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(Sup1):548-554. (in Chinese)
|
[15] |
刘春阳,金学奇,程文刚.基于Bezier曲线模型的移动机器人路径规划算法[J].华北电力大学学报,2006,33(4):43-46.
|
|
LIU C Y, JIN X Q, CHENG W G. Path planning for mobile robot based on Bezier curve model[J]. Journal of North China Electric Power University, 2006,33(4):43-46. (in Chinese)
|
[16] |
WAN N, XU D G, YE H W. Improved cubic B-spline curve method for path optimization of manipulator obstacle avoidance[C]∥2018 Chinese Automation Congress (CAC), 2018: 1471-1476.
|
|
|
|