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履带式拖拉机差速转向控制系统设计OA

Design on differential steering control system of crawler tractor

中文摘要英文摘要

针对履带式拖拉机传统差速转向方式存在响应滞后、能耗较大及操控精度不足等问题,提出一种基于状态反馈的差速转向控制系统.首先,分析履带式拖拉机转向机构原理;其次,根据履带式拖拉机运动学模型,设计基于脉宽调制原理的差速转向控制方法,通过建立系统状态空间模型,采用状态反馈控制策略,实现对左右履带驱动力的精准调节;再次,以 STM32F4单片机为核心对其进行直线路径规划和转向控制;最后,通过田间试验进行实证.结果表明,在作业速度 3 km/h下,差速转向方式平均路径偏差 2.2 cm,优于传统单边制动方式,并且偏差标准差降低约 1.0 cm,路径跟踪精度提升显著.该研究为履带式拖拉机在复杂农田环境下实现高精度自主转向控制提供了理论依据与技术支撑.

To address problems of response lag,large energy consumption,and insufficient handling accuracy in traditional differen-tial steering method of crawler tractor,a state feedback-based differential steering control system has been proposed.Firstly,principles of crawler tractor steering mechanism have been analyzed.Secondly,according to kinematics model of crawler tractor,differential steering control method based on pulse width modulation has been designed.Precise adjustment of left and right track drive force has been achieved by establishing state space model of system and adopting state feedback control strategy.Thirdly,a STM32F4 single chip microcomputer has been applied as core to carry out linear path planning and steering contro.Finally,field tests were carried out for val-idation.Results showed that at an operating speed of 3 km/h,average path deviation of differential steering method was 2.2 cm,which was better than that of traditional unilateral braking method.Furthermore,standard deviation of deviation was reduced by about 1.0 cm,indicating a significant improvement in path tracking accuracy.A theoretical basis and technical support for achieving high-pre-cision autonomous steering control of crawler tractor in complex farmland environment have been provided.

龚应育;杨茂彬;郑伟宏

雅安职业技术学院,四川 雅安 625000||四川省胡月刚数控车工技能大师工作室,四川 雅安 625000雅安职业技术学院,四川 雅安 625000四川泛华电器有限公司,四川 雅安 625000

农业科技

履带式拖拉机差速转向单片机控制方法PWM

crawler tractordifferential steeringsingle chip microcomputercontrol methodPWM

《农业工程》 2026 (5)

98-105,8

四川省高等学校人文社会科学重点研究基地四川高等职业教育研究中心立项项目(GZY25Z06)成都市哲学社会科学重点研究中心成都市工匠文化研究中心项目(2025YB14)2024年中国高校产学研创新基金智能物联网创新教育专项课题(2024WA041)

10.19998/j.cnki.2095-1795.202510312

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