Research Advances and Development Trend of Mountainous Tractor Leveling and Anti-Rollover System

doi:10.12133/j.smartag.SA202312015

Abstract

Abstract:

[Significance] The mechanization, automation and intelligentization of agricultural equipment are key factors to improve operation efficiency, free up labor force and promote the sustainable development of agriculture. It is also the hot spot of research and development of agricultural machinery industry in the future. In China, hills and mountains serves as vital production bases for agricultural products, accounting for about 70% of the country's land area. In addition, these regions face various environmental factors such as steep slopes, narrow road, small plots, complex terrain and landforms, as well as harsh working environment. Moreover, there is a lack of reliable agricultural machinery support across various production stages, along with a shortage of theoretical frameworks to guide the research and development of agricultural machinery tailored to hilly and mountainous locales. [Progress] This article focuses on the research advances of tractor leveling and anti-overturning systems in hilly and mountainous areas, including tractor body, cab and seat leveling technology, tractor rear suspension and implement leveling slope adaptive technology, and research progress on tractor anti-overturning protection devices and warning technology. The vehicle body leveling mechanism can be roughly divided into five types based on its different working modes: parallel four bar, center of gravity adjustable, hydraulic differential high, folding and twisting waist, and omnidirectional leveling. These mechanisms aim to address the issue of vehicle tilting and easy overturning when traversing or working on sloping or rugged roads. By keeping the vehicle body posture horizontal or adjusting the center of gravity within a stable range, the overall driving safety of the vehicle can be improved to ensure the accuracy of operation. Leveling the driver's cab and seats can mitigate the lateral bumps experienced by the driver during rough or sloping operations, reducing driver fatigue and minimizing strain on the lumbar and cervical spine, thereby enhancing driving comfort. The adaptive technology of tractor rear suspension and implement leveling on slopes can ensure that the tractor maintains consistent horizontal contact with the ground in hilly and mountainous areas, avoiding changes in the posture of the suspended implement with the swing of the body or the driving path, which may affect the operation effect. The tractor rollover protection device and warning technology have garnered significant attention in recent years. Prioritizing driver safety, rollover warning system can alert the driver in advance of the dangerous state of the tractor, automatically adjust the vehicle before rollover, or automatically open the rollover protection device when it is about to rollover, and timely send accident reports to emergency contacts, thereby ensuring the safety of the driver to the greatest extent possible. [Conclusions and Prospects] The future development directions of hill and mountain tractor leveling, anti-overturning early warning, unmanned, automatic technology were looked forward: Structure optimization, high sensitivity, good stability of mountain tractor leveling system research; Study on copying system of agricultural machinery with good slope adaptability; Research on anti-rollover early warning technology of environment perception and automatic interference; Research on precision navigation technology, intelligent monitoring technology and remote scheduling and management technology of agricultural machinery; Theoretical study on longitudinal stability of sloping land. This review could provide reference for the research and development of high reliability and high safety mountain tractor in line with the complex working environment in hill and mountain areas.

Key words: hilly and mountainous areas, tractor leveling, leveling of suspension equipment, anti overturning system, rollover

CLC Number:

TP391.4

MU Xiaodong, YANG Fuzeng, DUAN Luojia, LIU Zhijie, SONG Zhuoying, LI Zonglin, GUAN Shouqing. Research Advances and Development Trend of Mountainous Tractor Leveling and Anti-Rollover System[J]. Smart Agriculture, 2024, 6(3): 1-16.

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References 63

1	罗锡文. 对发展丘陵山区农业机械化的思考[J]. 农机科技推广, 2011(2): 17-20.
	LUO X W. Thoughts on developing agricultural mechanization in hilly and mountainous areas[J]. Agriculture machinery technology extension, 2011(2): 17-20.
2	中华人民共和国自然资源部. 第三次全国国土调查主要数据公报[EB/OL]. [2021-08-26].
3	孙景彬, 刘志杰, 杨福增, 等. 丘陵山地农业装备与坡地作业关键技术研究综述[J]. 农业机械学报, 2023, 54(5): 1-18.
	SUN J B, LIU Z J, YANG F Z, et al. Research review of agricultural equipment and slope operation key technologies in hilly and mountains region[J]. Transactions of the Chinese society for agricultural machinery, 2023, 54(5): 1-18.
4	白学峰, 常江雪, 滕兆丽, 等. 我国智能农业拖拉机关键技术研究进展[J]. 智能化农业装备学报(中英文), 2022, 3(2): 10-21.
	BAI X F, CHANG J X, TENG Z L, et al. Research progress on key technologies of intelligent agricultural tractors in China[J]. Journal of intelligent agricultural mechanization, 2022, 3(2): 10-21.
5	夏长高, 杨宏图, 韩江义, 等. 山地拖拉机调平系统的研究现状及发展趋势[J]. 中国农业大学学报, 2018, 23(10): 130-136.
	XIA C G, YANG H T, HAN J Y, et al. Research status and development trend of hilly mountain tractor leveling system[J]. Journal of China agricultural university, 2018, 23(10): 130-136.
6	李轶林. 山地履带拖拉机姿态调平控制系统的研究与设计[D]. 杨凌: 西北农林科技大学, 2020.
	LI Y L. Research and design of the hillside crawler tractor attitude leveling control system[D]. Yangling: Northwest A & F University, 2020.
7	王涛. 山地拖拉机车身自动调平控制系统的设计与试验[D]. 杨凌: 西北农林科技大学, 2014.
	WANG T. Design and test of the hillside tractor body automatic leveling control system[D]. Yangling: Northwest A & F University, 2014.
8	刘恒培, 杨福增, 刘世, 等. 差高机构对微型履带山地拖拉机稳定性的影响[J]. 拖拉机与农用运输车, 2013, 40(1): 18-21.
	LIU H P, YANG F Z, LIU S, et al. Effect of mechanism of height difference on stability of miniature crawler hillside tractor[J]. Tractor & farm transporter, 2013, 40(1): 18-21.
9	张季琴, 杨福增, 刘美丽, 等. 山地微耕机液压差高装置的设计[J]. 拖拉机与农用运输车, 2011, 38(3): 92-93, 96.
	ZHANG J Q, YANG F Z, LIU M L, et al. Design of an hydraulic difference in elevation equipment used in mountainous micro-tiller[J]. Tractor & farm transporter, 2011, 38(3): 92-93, 96.
10	WANG Y, YANG F, PAN G, et al. Design and testing of a small remote-control hillside tractor[J]. Transactions of the ASABE, 2014: 363-370.
11	SUN J B, MENG C, ZHANG Y Z, et al. Design and physical model experiment of an attitude adjustment device for a crawler tractor in hilly and mountainous regions[J]. Information processing in agriculture, 2020, 7(3): 466-478.
12	高墨尧. 丘陵山地农机动力底盘及车身调平装置研究[D]. 长春: 吉林农业大学, 2017.
	GAO M Y. Study on the agricultural machinery of powered chassis and body leveling device of hilly mountainous[D]. Changchun: Jilin Agricultural University, 2017.
13	韩振浩, 朱立成, 苑严伟, 等. 基于重心自适应调控的山地果园运输车设计与试验[J]. 农业机械学报, 2022, 53(2): 430-442.
	HAN Z H, ZHU L C, YUAN Y W, et al. Design and test of transport vehicle for hillside orchards based on center of gravity regulation[J]. Transactions of the Chinese society for agricultural machinery, 2022, 53(2): 430-442.
14	宁普才. 电动拖拉机动力及重心纵向调整机构设计与试验[D]. 杨凌: 西北农林科技大学, 2021.
	NING P C. Design and test of power and longitudinal adjustment mechanism of center of gravity of electric tractor[D]. Yangling: Northwest A & F University, 2021.
15	吴清分. BCS公司Sky-Jump-V950型半履带式拖拉机[J]. 拖拉机与农用运输车, 2019, 46(6): 8-10, 13.
	WU Q F. Sky-jump-V950 half-track tractor of BCS company[J]. Tractor & farm transporter, 2019, 46(6): 8-10, 13.
16	张斓. 轮式丘陵山地拖拉机扭腰姿态调整装置的设计与试验[D]. 泰安: 山东农业大学, 2022.
	ZHANG L. Design and test of twisting and swinging attitude adjustment device of wheel hilly tractor[D]. Taian: Shandong Agricultural University, 2022.
17	DENIS D, THUILOT B, LENAIN R. Online adaptive observer for rollover avoidance of reconfigurable agricultural vehicles[J]. Computers and electronics in agriculture, 2016, 126(C): 32-43.
18	王祉涵. 工程车辆机电式自动调平系统的研究[D]. 沈阳: 沈阳工业大学, 2022.
	WANG Z H. Research on electromechanical automatic leveling system of construction vehicle[D].Shenyang: Shenyang University of Technology, 2022.
19	舒鑫. 高地隙植保机转向与调平控制系统研究[D]. 长沙: 湖南农业大学, 2019.
	SHU X. Research on steering and leveling control system of high ground gap plant protection machine[D]. Changsha: Hunan Agricultural University, 2019.
20	杨华兵. 基于模糊PID的丘陵山地拖拉机车身自动调平控制系统的研究[D]. 雅安: 四川农业大学, 2021.
	YANG H B. Research on auto leveling control system of tractor body in hilly area based on fuzzy PID[D]. Ya'an: Sichuan Agricultural University, 2021.
21	齐文超. 丘山地拖拉机姿态主动调整系统研究[D]. 上海: 上海交通大学, 2020.
	QI W C. Research on active attitude adjustment system of tractors in hilly mountains[D]. Shanghai: Shanghai Jiao Tong University, 2020.
22	赵恩鹏. 丘陵山地拖拉机车身姿态自调整机构运动学与动力学分析[D]. 长春: 吉林大学, 2018.
	ZHAO E P. Kinematics and dynamics analysis of self-adjusting mechanism for body's posture of hillside tractor[D]. Changchun: Jilin University, 2018.
23	李洪龙. 丘陵山地拖拉机调平液压系统动态特性仿真与实验研究[D]. 济南: 山东建筑大学, 2018.
	LI H L. Simulation and experimental study on the leveling hydraulic system dynamic characteristic in hillside tractor[D]. Ji'nan: Shandong Jianzhu University, 2018.
24	刘平义, 王春燕, 李海涛, 等. 丘陵山区农用仿形行走动态调平底盘设计与试验[J]. 农业机械学报, 2018, 49(2): 74-81.
	LIU P Y, WANG C Y, LI H T, et al. Terrain adaptive and dynamic leveling agricultural chassis for hilly area[J]. Transactions of the Chinese society for agricultural machinery, 2018, 49(2): 74-81.
25	王忠山. 丘陵山地拖拉机车身调平系统及调平控制研究[D]. 长春: 吉林大学, 2022.
	WANG Z S. Research on body leveling system and leveling control of hily mountain tractor[D]. Changchun: Jilin University, 2022.
26	江洲. 拖拉机姿态自调整转向驱动桥振动分析与结构优化[D]. 长春: 吉林大学, 2021.
	JIANG Z. Vibration analysis and structure optimization of a tractor's self-adjusting steering drive axle[D]. Changchun: Jilin University, 2021.
27	邹大庆, 丁仁凯, 石放辉, 等. 丘陵山区履带式作业机全向调平系统设计[J]. 农业装备技术, 2023, 49(4): 11-13.
	ZOU D Q, DING R K, SHI F H, et al. Design of omnidirectional leveling system for crawler machines in hilly and mountainous areas[J]. Agricultural equipment & technology, 2023, 49(4): 11-13.
28	孙泽宇, 夏长高, 蒋俞, 等. 基于QBP-PID的履带式作业机全向调平控制研究[J]. 农业机械学报, 2023, 54(12): 397-406.
	SUN Z Y, XIA C G, JIANG Y, et al. Omnidirectional leveling control of crawler machine based on QBP-PID[J]. Transactions of the Chinese society for agricultural machinery, 2023, 54(12): 397-406.
29	唐瑜. 农机驾驶座椅自动调平系统研究[D]. 杨凌: 西北农林科技大学, 2010.
	TANG Y. Research on auto-leveling system of drivers' seat on agricultural machinery[D].Yangling: Northwest A & F University, 2010.
30	唐瑜, 朱瑞祥, 孙向楠, 等. 农机驾驶座椅自适应水平调节系统设计与实现[J]. 农机化研究, 2010, 32(1): 78-80.
	TANG Y, ZHU R X, SUN X N, et al. Study and implementation on self-leveling system of farm machinery drivers seat[J]. Journal of agricultural mechanization research, 2010, 32(1): 78-80.
31	唐瑜, 朱瑞祥. 农机驾驶座椅水平调节系统设计[J]. 农机化研究, 2012, 34(7): 139-142.
	TANG Y, ZHU R X. Design on self-leveling system of farm machinery drivers seat[J]. Journal of agricultural mechanization research, 2012, 34(7): 139-142.
32	杨洋, 程尚坤, 齐健, 等. 基于人机工效学的农机座椅自动调平系统设计与试验[J]. 农业机械学报, 2022, 53(6): 434-442.
	YANG Y, CHENG S K, QI J, et al. Design and test of automatic leveling system for agricultural machinery seat based on ergonomics[J]. Transactions of the Chinese society for agricultural machinery, 2022, 53(6): 434-442.
33	史名奇. 自动调平汽车座椅设计[J]. 无线互联科技, 2020, 17(19): 66-67.
	SHI M Q. Design of auto-leveling car seat[J]. Wireless Internet technology, 2020, 17(19): 66-67.
34	姚宗伯. 林业装备驾驶平台自动调平系统设计与研究[D]. 北京: 北京林业大学, 2020.
	YAO Z B. Design and research of automatic leveling system for forestry equipment driving platform[D]. Beijing: Beijing Forestry University, 2020.
35	王萧. 丘陵山地履带拖拉机车身自适应调平系统的研究[D]. 雅安: 四川农业大学, 2020.
	WANG X. Study on the self-adaptive leveling system of the tractor body in hilly and mountainous area[D]. Ya'an: Sichuan Agricultural University, 2020.
36	张锦辉, 李彦明, 齐文超, 等. 基于神经网络PID的丘陵山地拖拉机姿态同步控制系统[J]. 农业机械学报, 2020, 51(12): 356-366.
	ZHANG J H, LI Y M, QI W C, et al. Synchronous control system of tractor attitude in hills and mountains based on neural network PID[J]. Transactions of the Chinese society for agricultural machinery, 2020, 51(12): 356-366.
37	周浩, 胡炼, 罗锡文, 等. 旋耕机自动调平系统设计与试验[J]. 农业机械学报, 2016, 47(S1): 117-123.
	ZHOU H, HU L, LUO X W, et al. Design and test of automatic leveling system for rotary cultivator[J]. Transactions of the Chinese society for agricultural machinery, 2016, 47(S1): 117-123.
38	蒋俊, 张建, 冯贻江, 等. 丘陵山地拖拉机电液悬挂系统的设计与仿真分析[J]. 浙江师范大学学报(自然科学版), 2019, 42(1): 31-35.
	JIANG J, ZHANG J, FENG Y J, et al. The design and simulation analysis of the electro-hydraulichitch system in the tractor[J]. Journal of Zhejiang normal university (natural sciences), 2019, 42(1): 31-35.
39	杨福增, 牛瀚麟, 孙景彬, 等. 山地履带拖拉机与农具姿态协同控制系统设计与试验[J]. 农业机械学报, 2022, 53(1): 414-422.
	YANG F Z, NIU H L, SUN J B, et al. Design and experiment of attitude cooperative control system of mountain crawler tractor and farm tools[J]. Transactions of the Chinese society for agricultural machinery, 2022, 53(1): 414-422.
40	吴帆. 旋耕机遥控驾驶与自动调平系统研究[D]. 长沙: 湖南农业大学, 2020.
	WU F. Research on remote control driving system and automatic leveling system of rotary cultivator[D]. Changsha: Hunan Agricultural University, 2020.
41	谢斌, 李皓, 朱忠祥, 等. 基于倾角传感器的拖拉机悬挂机组耕深自动测量方法[J]. 农业工程学报, 2013, 29(4): 15-21.
	XIE B, LI H, ZHU Z X, et al. Measuring tillage depth for tractor implement automatic using inclinometer[J]. Transactions of the Chinese society of agricultural engineering, 2013, 29(4): 15-21.
42	İRSEL G, ALTINBALIK M T. Adaptation of tilt adjustment and tracking force automation system on a laser-controlled land leveling machine[J]. Computers and electronics in agriculture, 2018, 150: 374-386.
43	WATANABE M, SAKAI K S. Impact dynamics model for a nonlinear bouncing tractor during inclined passage[J]. Biosystems engineering, 2019, 182: 84-94.
44	JANG M K, HWANG S J, KIM J H, et al. Overturning and rollover characteristics of a tractor through dynamic simulations: Effect of slope angle and obstacles on a hard surface[J]. Biosystems engineering, 2022, 219: 11-24.
45	MALVIYA V, MISHRA R. Development of an analytical multi-variable steady-state vehicle stability model for heavy road vehicles[J]. Applied mathematical modelling, 2014, 38(19/20): 4756-4777.
46	United States Department of Labor. Census of fatal occupational injuries[R]. Washington DC: Bureau of Labor Statistics, 2005.
47	JANG M, HWANG S, KIM J, NAM J. Comparison between a rollover tractor dynamic model and actual lateral tests[J]. Biosystems engineering, 2014, 127: 79-91.
48	AYERS P D, KHORSANDI F K, POLAND M J, et al. Foldable rollover protective structures: Universal lift-assist design[J]. Biosystems engineering, 2019, 185: 116-125.
49	LATORRE-BIEL J I, BALLESTEROS T, ARANA I, et al. Development of an inexpensive rollover energy dissipation device to improve safety provided by ROPS[J]. Biosystems engineering, 2019, 185: 88-102.
50	BAKER V, GUZZOMI A L. A model and comparison of 4-wheel-drive fixed-chassis tractor rollover during Phase I[J]. Biosystems engineering, 2013, 116(2): 179-189.
51	GUZZOMI A L. A revised kineto-static model for phase I tractor rollover[J]. Biosystems engineering, 2012, 113(1): 65-75.
52	AHMADI I. Development of a tractor dynamic stability index calculator utilizing some tractor specifications[J]. Turkish journal of agriculture and forestry, 2013, 37: 203-211.
53	LI Z, MITSUOKA M, INOUE E, et al. Development of stability indicators for dynamic Phase I overturn of conventional farm tractors with front axle pivot[J]. Biosystems engineering, 2015, 134: 55-67.
54	OJADOS GONZALEZ D, MARTIN-GORRIZ B, IBARRA BERROCAL I, et al. Development of an automatically deployable roll over protective structure for agricultural tractors based on hydraulic power: Prototype and first tests[J]. Computers and electronics in agriculture, 2016, 124: 46-54.
55	LIU B, KOC A B. SafeDriving: A mobile application for tractor rollover detection and emergency reporting[J]. Computers and electronics in agriculture, 2013, 98: 117-120.
56	QIN J H, WU A B, SONG Z S, et al. Recovering tractor stability from an intensive rollover with a momentum flywheel and active steering: System formulation and scale-model verification[J]. Computers and electronics in agriculture, 2021, 190: ID 106458.
57	SONG Z S, WANG L L, LIU Y M, et al. Actively steering a wheeled tractor against potential rollover using a sliding-mode control algorithm: Scaled physical test[J]. Biosystems engineering, 2022, 213: 13-29.
58	秦嘉浩, 李臻, 光岡宗司, 等. 基于模型实验的拖拉机配置对稳定性的影响差异[J]. 吉林大学学报(工学版), 2019, 49(4): 1236-1245.
	QIN J H, LI Z, MITSUOKA M, et al. Significance variation of factorial effects on tractor stability employing scale-model-based experimental approach[J]. Journal of Jilin university (engineering and technology edition), 2019, 49(4): 1236-1245.
59	郭腾飞. 东风304A拖拉机乘驾操作人机设计与侧翻预警研究[D]. 沈阳: 沈阳建筑大学, 2015.
	GUO T F. Research on driving ergonomics design and rollover warning for Dongfeng 304A tractor[D]. Shenyang: Shenyang Jianzhu University, 2015.
60	康杰, 聂友红, 何培祥. 轮式拖拉机主动防侧翻系统的设计[J]. 农机化研究, 2023, 45(2): 236-240.
	KANG J, NIE Y H, HE P X. Design of active anti-rollover system for wheeled tractor[J]. Journal of agricultural mechanization research, 2023, 45(2): 236-240.
61	庄家鹏. 姿态可调丘陵山地拖拉机稳定性研究[D]. 济南: 山东大学, 2020.
	ZHUANG J P. Research on stability of hilly mountain tractor with adjustable attitude[D]. Ji'nan: Shandong University, 2020.
62	李延凯. 考虑防侧翻的高地隙植保机路径跟踪控制方法[D]. 合肥: 安徽农业大学, 2021.
	LI Y K. Path tracking control method of high-gap plant protection machine considering anti rollover[D]. Hefei: Anhui Agricultural University, 2021.
63	袁冠豪. 轮式拖拉机侧翻预警及主动转向防侧翻控制系统研究[D]. 聊城: 聊城大学, 2022.
	YUAN G H. Research on control system of rollover early warning and active steering anti-rollover for wheeled tractor[D]. Liaocheng: Liaocheng University, 2022.

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