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基于D-H法的农业采摘机器人运动协作控制系统设计

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为提升农业采摘机器人运动协作控制性能,降低机器人碰撞概率,利用D-H法优化设计机器人运动协作控制系统;改装位置、力矩以及碰撞传感器设备,优化运动协作控制器与驱动器,调整系统通信模块结构,完成硬件系统的优化;利用D-H法构建农业采摘机器人数学模型,在该模型下,利用传感器设备实现机器人实时位姿的量化描述,通过机器人采摘流程的模拟,分配机器人运动协作任务,从位置和姿态等多个方面,确定运动协作控制目标,经过受力分析求解机器人实际作用力,最终通过控制量的计算,实现农业采摘机器人的运动协作控制功能;通过系统测试实验得出结论:所提方法控制下机器人位置、姿态角和作用力的控制误差分别为14 mm、0。2°和1。2 N,在优化设计系统控制下,机器人的碰撞次数得到明显降低。
Design of Motion Cooperative Control System for Agricultural Harvesting Robots Based on D-H Method
In order to improve the motion cooperative control performance of agricultural harvesting robots and reduce the collision probability of robots,the D-H method is used to optimize the design of the robot motion cooperative control system.The position,torque,and collision sensor of the system are modified,the motion cooperation controller and driver of the system are optimized,the system communication module structure is adjusted,and the optimization of the hardware system is completed.The D-H method is used to construct the mathematical model of the agricultural harvesting robot.Under this model,the sensor equipment is used to real-ize the quantitative information of the robot's real-time position and posture.Through the simulation of the robot's picking process,the robot's motion cooperation tasks are assigned.The robot's motion cooperation control objectives are determined from the aspects of position and posture.The actual force of the robot is solved through force analysis,finally,the control quantity is calculated to realize the motion cooperative control function of agricultural harvesting robots.Through the system testing experiments,it is concluded that under the control of the proposed method,the control errors of the robot position,attitude angle,and force are 14 mm,0.2°,and 1.2 N,respectively.Under the control of the optimal design system,the collisions of the robot are significantly reduced.

D-H methodagricultural picking robotmotion cooperationmotion control system

闵小翠、李鹏

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广州华立科技职业学院,广州 511325

D-H法 农业采摘机器人 运动协作 运动控制系统

广东省教育厅第一批省高职院校高水平专业群广东省教育厅2022年度普通高校重点科研平台和项目

GSPZYQ20200822022KTSCX372

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(1)
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