1.江阴职业技术学院 机电工程系, 江苏 江阴 214005
张军(1974— ),男,江苏赣榆人,硕士,研究方向为机械运动与自动化控制技术。
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张军,许洪龙.考虑关节非线性的串联双连杆机械臂工业机器人运动控制[J].机械传动,2020,44(01):28-34.
Zhang Jun Xu Honglong.Motion Control of Industrial Robot with Series Two-link Manipulator Considering Joint Nonlinear[J].Journal of Mechanical Transmission,2020,44(01):28-34.
张军,许洪龙.考虑关节非线性的串联双连杆机械臂工业机器人运动控制[J].机械传动,2020,44(01):28-34. DOI: 10.16578/j.issn.1004.2539.2020.01.005.
Zhang Jun Xu Honglong.Motion Control of Industrial Robot with Series Two-link Manipulator Considering Joint Nonlinear[J].Journal of Mechanical Transmission,2020,44(01):28-34. DOI: 10.16578/j.issn.1004.2539.2020.01.005.
当前,导致多轴工业机器人轨迹跟踪误差的主要非线性因素是各轴上的关节非线性和不同轴间的动力学耦合效应。对此,提出了一种考虑关节非线性的串联双连杆机械臂模型的工业机器人运动控制方法。构造了机械臂运动学和动力学模型,提出了一种参数化建模方法,将连杆的非线性刚度和摩擦力直接辨识为关节非线性,并将该方法应用于具有低频振动特性、对轨迹性能具有重要影响的典型多轴工业机器人的串联双连杆臂,再现串联双连杆机械臂的运动状态,通过数值模拟和实验对比,验证了该方法的有效性。采用含可变陷波滤波器的反馈闭环控制和动态前馈补偿2自由度控制两种控制方案,提高机械臂轨迹跟踪和残余振动抑制的性能。结合4种不同运动形式,开展实验研究,与常规PI轨迹跟踪控制方法进行对比分析。结果表明,采用具有可辨识双连杆动力学模型和带可变陷波滤波器反馈闭环回路的2自由度控制方案能够提高轨迹追踪和残余振动抑制性能。
At present, the main nonlinear factors that lead to the trajectory tracking error of multi-axis industrial robots are the joint nonlinearity on each axis and the dynamics coupling effect between different axes. For this, a motion control method for industrial robots is proposed, which considers the joint nonlinearity in a series of two-link manipulators. The kinematics and dynamics model of the manipulator is constructed, and a parametric modeling method is proposed. The nonlinear stiffness and friction force of the connecting rod are directly identified as joint nonlinearity. The method is applied to the series two-link manipulator of a typical multi-axis industrial robot with low-frequency vibration characteristics and important influence on trajectory performance. The motion state of the serial double-link manipulator reproduced, the validity of the method is verified by numerical simulation and experimental comparison. Two control schemes, feedback closed-loop control with variable notch filter and two-degree-of-freedom control with dynamic feed-forward compensation are adopted to improve the performance of trajectory tracking and residual vibration suppression. Combining four different motion forms, the experimental study is carried out and compared with the conventional PI trajectory tracking control method. The results show that the two-degree-of-freedom control scheme with identifiable two-link dynamics model and feedback loop with variable notch filter can improve the trajectory tracking and residual vibration suppression performance.
关节非线性 双连杆 机械臂 工业机器人
Joint nonlinearityTwo-linkManipulatorIndustrial robot
计时鸣,黄希欢.工业机器人技术的发展与应用综述[J].机电工程,2015,32(1):1-13.
JI Shiming,HUANG Xihuan.Development and application of industrial robot technology[J].Journal of Mechanical & Electrical Engineering,2015,32(1):1-13.
SPONG M W,HUTCHINSON S A,VIDYASAGAR M.Robot modeling and control[J].IEEE Control Systems,2006,26(6):113-115.
张宇,游有鹏.基于扰动观测器的机器人位置控制器设计[J].组合机床与自动化加工技术,2013(9):102-104.
ZHANG Yu,YOU Youpeng.The design of robot position controller based on disturbance observer[J].Modular Machine Tool & Automatic Manufacturing Technique,2013(9):102-104.
杜丽娟,陈帅.激光测距技术的机器人电机转矩控制[J].激光杂志,2017,38(7):167-170.
DU Lijuan,CHEN Shuai.Laser ranging nondestructive testing robot motor torque control[J].Laser Journal,2017,38(7):167-170.
吴晓,朱世强,刘松国.基于PDAG算法的工业机器人轨迹跟踪[J].中国机械工程,2010,21(19):2302-2307.
WU Xiao,ZHU Shiqiang,LIU Songguo.Pdag algorithm based trajectory tracking for industrial robots[J].China Mechanical Engineering,2010,21(19):2302-2307.
宋强,龚弘,赵家峤,等.基于双模糊滑模控制的机器人运动轨迹跟踪误差仿真[J].中国工程机械学报,2017,15(5):421-425.
SONG Qiang,GONG Hong,ZHAO Jiaqiao,et al.Simulation research on trajectory tracking error of robot based on double fuzzy sliding mode control[J].Chinese Journal of Construction Machinery,2017,15(5):421-425.
方小菊,黄亦其.基于无源控制的非完整移动机器人轨迹跟踪误差仿真研究[J].组合机床与自动化加工技术,2017(6):41-44.
FANG Xiaoju,HUANG Yiqi.Simulation of trajectory tracking error of nonholonomic mobile robot based on passive control[J].Modular Machine Tool & Automatic Manufacturing Technique,2017(6):41-44.
岳士岗,余跃庆,白师贤.多杆柔性机器人杆与关节耦合效应及优化设计[J].北京工业大学学报,1997,23(4):49-56.
YUE Shigang,YU Yueqing,BAI Shixian.The coupling effect and optimal design of the link and joint of the multi-link flexible robot[J].Journal of Beijing University of Technology,1997,23(4):49-56.
SWEVERS J,VERDONCK W,DE SCHUTTRE J.Dynamic model identification for industrial robots[J].IEEE Control Systems,2009,27(5):58-71.
WERNHOLT E,GUNNARSSON S.Nonlinear identification of a physically parameterized robot model[J].IFAC Proceedings Volumes,2006,39(1):143-148.
席万强,陈柏,丁力,等.考虑非线性摩擦模型的机器人动力学参数辨识[J].农业机械学报,2017,48(2):393-399.
XI Wanqiang,CHEN Bai,DING Li,et al.Dynamic parameter identification for robot manipulators with nonlinear friction model[J].Transactions of The Chinese Society of Agricultural Machinery,2017,48(2):393-399.
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