Influence of Excitation Amplitude and Load on the Characteristics of a Quasi-zero Stiffness Isolator

doi:10.3901/JME.2024.03.020

Abstract

Abstract: Precision peg-in-hole assembly is a common form of assembly in the manufacturing industry. There are both position constraints and force constraints in the assembly process. Therefore, the use of industrial robots to achieve automatic assembly of shaft holes has always been a challenging hot issue. Firstly, the typical single-point contact and double-point contact force model of the peg-in-hole assembly process is analyzed, and proposes the overall force control strategy for different contact states. Secondly, based on the position-based impedance model, a force compliance control model with adaptive effect on environmental position and stiffness is established. The simulation results show that the control model can eliminate the steady-state error of the force tracking process. Then, the master-slave dual-robot collaborative model is established, and the peg-in-hole assembly simulation experiment is carried out to verify the force-position control effect of the dual-robot collaborative assembly under different robot position and attitude errors. Finally, a master-slave dual robot assembly experimental platform is built to verify the feasibility of the adaptive force compliance control model and the master-slave cooperative model.

Key words: robot assembly, force compliance control, impedance control, dual-robot cooperation

CLC Number:

TP24

WANG Zhanxi, ZHANG Yiming, ZHANG Banghai, LUO Ziyan, SHI Mengge. Influence of Excitation Amplitude and Load on the Characteristics of a Quasi-zero Stiffness Isolator[J]. Journal of Mechanical Engineering, 2024, 60(3): 28-33.

References

[1] 魏明明,傅卫平,蒋家婷,等.操作机器人轴孔装配的行为动力学控制策略[J].机械工程学报, 2015, 51(5):14-21. WEI Mingming, FU Weiping, JIANG Jiating, et al. Dynamics of behavior control strategy in peg-in-hole assembly task of manipulator[J]. Journal of Mechanical Engineering, 2015, 51(5):14-21.
[2] JIANG J, HUANG Z, BI Z, et al. State-of-the-art control strategies for robotic PiH assembly[J]. Robotics and Computer-Integrated Manufacturing, 2020, 65:101894-101907.
[3] 李康康,胡锦洋,邢普,等.面向柔顺装配装夹的机器人手腕变刚度机理研究[J].机械工程学报, 2022, 58(19):77-85. LI Kangkang, HU Jinyang, XING Pu, et al. Research on the mechanism of robot wrist variable rigidity for flexible assembly clamping[J]. Journal of Mechanical Engineering, 2022, 58(19):77-85
[4] 张思思,李凤鸣,杨旭亭,等.基于接触状态感知发育的机器人柔性装配方法[J].控制与决策, 2021, 36(4):876-884. ZHANG Sisi, LI Fengming, YANG Xuting, et al. A flexible assembly method for robots based on contact state perception development[J]. Control and Decision Making, 2021, 36(4):876-884.
[5] 王皓,陈根良.机器人型装备在航空装配中的应用现状与研究展望[J].航空学报, 2022, 43(5):41-63. WANG Hao, CHEN Genliang. The application status and research prospects of robotic equipment in aviation assembly[J]. Journal of Aeronautics, 2022, 43(5):41-63.
[6] 胡瑞钦,张立建,孟少华,等.基于柔顺控制的航天器大部件机器人装配技术[J].机械工程学报, 2018(11):85-93. HU Ruiqin, ZHANG Lijian, MENG Shaohua, et al. Robot assembly technology for spacecraft large components based on compliant control[J]. Journal of Mechanical Engineering, 2018(11):85-93.
[7] WANG Z, ZOU L, DUAN L, et al. Study on passive compliance control in robotic belt grinding of nickel-based superalloy blade[J]. Journal of Manufacturing Processes, 2021, 68(PB):168-179.
[8] KOCO E, MIRKOVIC D, KOVAČIĆ Z. Hybrid compliance control for locomotion of electrically actuated quadruped robot[J]. Intell. Robot Syst., 2019, 94:537-563.
[9] 柯贤锋,王军政,何玉东,等.基于力反馈的液压足式机器人主/被动柔顺性控制[J].机械工程学报, 2017, 53(1):13-20. KE Xianfeng, WANG Junzheng, HE Yudong. Active/passive compliance control of hydraulic foot robot based on force feedback[J]. Journal of Mechanical Engineering, 2017, 53(1):13-20.
[10] 柴汇,孟健,荣学文,等.高性能液压驱动四足机器人SCalf的设计与实现[J].机器人, 2014, 36(4):385-391. CHAI Hui, MENG Jian, RONG Xuewen. Design and implementation of SCalf, a high-performance hydraulically driven quadruped robot[J]. Robot, 2014, 36(4):385-391.
[11] ZHANG K, WANG J, LIU Y, et al. Active and passive compliant force control of ultrasonic surface rolling process on a curved surface[J]. Chinese Journal of Aeronautics, Chinese Society of Aeronautics and Astronautics, 2022, 35(7):289-299.
[12] JIANG Y, HUANG Z, YANG B, et al. A review of robotic assembly strategies for the full operation procedure:Planning, execution and evaluation[J]. Robotics and Computer-Integrated Manufacturing, Elsevier Ltd, 2022, 78:102366-102403.
[13] WEN S, ZHENG W, ZHU J, et al. Elman fuzzy adaptive control for obstacle avoidance of mobile robots using hybrid force/position incorporation[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), IEEE, 2011, 42(4):603-608.
[14] 徐建明,杨冰冰.基于Baxter冗余双臂机器人的轴孔装配轨迹规划研究[J].浙江工业大学学报, 2022, 50(6):599-608. XU Jianming, YANG Bingbing. Research on axis hole assembly trajectory planning based on baxter redundant dual arm robot[J]. Journal of Zhejiang University of Technology, 2022, 50(6):599-608
[15] WANG S, CHEN G, XU H, et al. A robotic peg-in-hole assembly strategy based on variable compliance center[J]. IEEE Access, IEEE, 2019, 7:167534-167546.
[16] ZHANG K, SHI M, XU J, et al. Force control for a rigid dual peg-in-hole assembly[J]. Assembly Automation, 2017, 37(2):200-207.
[17] 曾晨东,艾海平,陈力.空间机械臂在轨插,拔孔操作力/位姿阻抗控制[J].机械工程学报, 2022, 58(3):84-94. ZENG Chendong, AI Haiping, CHEN Li. Space robotic arm insertion and hole extraction operation force/pose impedance control in orbit[J]. Journal of Mechanical Engineering, 2022, 58(3):84-94.
[18] 曾令城,李明富,杨真真,等.基于先验速度修正的工业机器人曲面跟踪柔顺控制[J].机械工程学报, 2022, 58(1):41-51. ZENG Lingcheng, LI Mingfu, YANG Zhenzhen, et al. Surface tracking compliance control of industrial robots based on prior velocity correction[J]. Journal of Mechanical Engineering, 2022, 58(1):41-51.
[19] CHO H C, KIM Y L, KIM B S, et al. A strategy for connector assembly using impedance control for industrial robots[J]. International Conference on Control, Automation and Systems, IEEE, 2012(1):1433-1435.
[20] ROVEDA L, TESTA A, SHAHID A A, et al. Q-Learning-based model predictive variable impedance control for physical human-robot collaboration[J]. Artificial Intelligence, 2022, 312:103771-103773.
[21] CHEN H, LIU Y. Robotic assembly automation using robust compliant control[J]. Robotics and Computer Integrated Manufacturing, 2013, 29(2):293-300.
[22] 葛吉民,邓朝晖,李尉,等.机器人磨抛力柔顺控制研究进展[J].中国机械工程, 2021, 32(18):2217-2230. GE Jimin, DENG Chaohui, LI Wei, et al. Research progress in robot grinding and polishing force compliance control[J]. China Mechanical Engineering, 2021, 32(18):2217-2230.
[23] YING K C, POURHEJAZY P, CHENG C Y, et al. Deep learning-based optimization for motion planning of dual-arm assembly robots[J]. Computers & Industrial Engineering, 2021, 160:107603-107605.
[24] JIAO C, YU L, SU X, et al. Adaptive hybrid impedance control for dual-arm cooperative manipulation with object uncertainties[J]. Automatica, 2022, 140:110232-110234.
[25] 陈志煌,陈力.闭链双臂空间机器人抓持载荷基于径向基函数神经网络的补偿控制[J].机械工程学报, 2011, 47(7):38-44. CHEN Zhihuang, CHEN Li. Compensation control of closed chain dual arm space robot grasping load based on radial basis function neural network[J]. Journal of Mechanical Engineering, 2011, 47(7):38-44.
[26] CACCAVALE F, NATALE C, SICILIANO B, et al. Achieving a cooperative behavior in a dual-arm robot system via a modular control structure[J]. Journal of Robotic Systems, 2001, 18(12):691-699.
[27] HU H, CAO J. Adaptive variable impedance control of dual-arm robots for slabstone installation[J]. ISA Transactions, 2022, 128:397-408.