Dynamic modeling and vibration suppression of flexible macro-micro manipulator system
WENG Yinxiang1, YANG Yiling1, WU Gaohua1, CUI Yuguo1, WEI Yanding2
1. Part Rolling Key Laboratory of Zhejiang Province, Ningbo University, Ningbo 315211, China;
2. Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou 310027, China
Abstract:Regarding the problem of micro-nano vibration of the flexible micromanipulator during high-speed and large-range macro motion, a system dynamics model is established, and an improved discrete sliding mode control strategy is designed to suppress micro-elastic vibration. Firstly, a comprehensive mechatronic dynamics model is established by combining the assumed modal method, Lagrange equation, and asymmetric hysteresis model for the macro-micro manipulation system composed of an air-floating macro-motion platform and a piezoelectric fiber micromanipulator. After that, a discrete sliding mode control strategy with nonlinear adaptive characteristics is implemented by regulating the switching gain with a variable-speed convergence law based on the proposed model. Finally, a measurement and control platform for the macro-micro manipulation system is built, and the trajectory tracking and vibration suppression experiments are conducted. In trajectory tracking, the designed control strategy can accurately track the given signal with minor errors for different frequencies of sinusoidal reference trajectories. During vibration suppression, the residual vibration stabilization time of the micromanipulator was reduced by 26.1% and 50.0% compared to the pre-improvement period when the macro-actuated platform was moving along the trapezoidal versus the S-trajectory and 53.6% and 53.3% compared to the no-control period, respectively. The effectiveness of the dynamics model and discrete sliding mode control is verified, and the control accuracy and efficiency of the system are improved.
[1] ZHANG L, LI X, FANG J, et al. Vibration isolation of extended ultra-high acceleration macro–micro motion platform considering floating stator stage[J]. International Journal of Precision Engineering and Manufacturing, 2019, 20: 1265-1287.
[2] PENNY H, HAYMAN D T S, AVCI E. Micromanipulation system for isolating a single cryptosporidium oocyst[J]. Micromachines, 2019,11(1): 3.
[3] LIN J, QI C, GAO F, et al. Integration modeling and control of a 12-degree-of-freedom macro–micro dual parallel manipulator[J]. Part C: Journal of Mechanical Engineering Science, 2022, 236(11): 6064-6076.
[4] Xu Q. Robust impedance control of a compliant microgripper for high-speed position/force regulation [J]. IEEE Transactions on Industrial Electronics, 2015, 62(2): 1201-1209.
[5] YANG Y, WEI Y, LOU J, et al. Dynamic modeling and adaptive vibration suppression of a high-speed macro-micro manipulator[J]. Journal of Sound and Vibration, 2018, 422: 318-342.
[6] 彭剑, 张改, 胡霞, 等. 压电弹性梁主共振响应的时滞加速度反馈控制[J]. 振动与冲击, 2016, 35(24): 1-5.
PENG Jian, ZHANG Gai, HU Xia, et al. Time-delayed acceleration feedback control of primary resonance of piezoelectric elastic beams[J]. Journal of Vibration and Shock, 2016, 35(24): 1-5.
[7] MENG T T, HE W. Iterative learning control of a robotic arm experiment platform with input constraint[J]. IEEE Transactions on Industrial Electronics, 2018, 65(1): 664-672.
[8] 康建云, 毕果, 苏史博. 压电柔性机械臂系统辨识与振动主动控制[J]. 振动, 测试与诊断, 2021, 41(1): 90-95.
KANG Jianyun, BI Guo, SU Shibo. Experimental Identification and Active Vibration Controlof Piezoelectric Flexible Manipulator [J]. Journal of Vibration and Shock, 2021, 41(1): 90-95.
[9] XU W, CAO L, PENG B, et al. Adaptive nonsingular fast terminal sliding mode control of aerial manipulation based on nonlinear disturbance observer[J]. Drones, 2023, 7(2): 88.
[10] 卢荣华,陈特欢,娄军强,崔玉国. MFC致动器的动态迟滞模型辨识及补偿控制[J]. 振动与冲击, 2022, 41(10): 301-308.
LU Ronghua, CHEN Tehuan, LOU Junqiang, CUI Yuguo. Identification and compensation control of the dynamic hysteresis model of MFC actuators. Journal of Vibration and Shock, 2022, 41(10): 301-308.
[11] CHEN L Q, WU X H, SUN Q, et al. Experimental study on the electromechanical hysteresis property of macro fiber composite actuator[J]. International Journal of Acoustics and Vibrations, 2017, 22(4): 467-480.
[12] Qiu Z. Adaptive nonlinear vibration control of a Cartesian flexible manipulator driven by a ballscrew mechanism[J]. Mechanical Systems and Signal Processing, 2012, 30: 248-266.
[13] 邱志成, 李城. 双连杆柔性机械臂振动主动控制与实验[J]. 振动. 测试与诊断, 2019, 39(3): 503-511.
QIU Zhicheng, LI Cheng. Experimental Study on Two-Link Rigid-Flexible Manipulator Vibration Control[J]. Journal of Vibration,Measurement & Diagnosis, 2019, 39(3): 503-511.
[14] 刘屿, 付云, 刘伟东等. 柔性卫星系统的振动自适应边界控制[J]. 控制理论与应用, 2018, 35(07): 973-980.
LIU Yu, FU Yun, LIU Wei-dong, et al. Adaptive vibration boundary control for a flexible satellite system[J]. Control Theory and Technology, 2018, 35(7): 973-980.
[15] WANG S, YANG Y L, LI G P, et al. Microscopic vibration suppression for a high-speed macro-micro manipulator with parameter perturbation[J]. Mechanical Systems and Signal Processing, 2022, 179: 109332.
[16] LI D, ZHANG F, SUN L, et al. Design and fabrication of micromanipulation tools for electrochemical-based manipulation of metal microcomponents[J]. Microsystem Technologies, 2022, 28(9): 2071-2081.
[17] SU Y, ZHENG C. A new nonsingular integral terminal sliding mode control for robot manipulators[J]. International Journal of Systems Science, 2020, 51(8): 1418-1428.
[18] CHENG P, WANG H, STOJANOVIC V, et al. Asynchronous fault detection observer for 2-D Markov jump systems[J]. IEEE Transactions on Cybernetics, 2021, 52(12): 13623-13634.
[19] KANG S, WU H, YANG X, et al. Discrete-time predictive sliding mode control for a constrained parallel micropositioning piezostage[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 52(5): 3025-3036.
[20] BARTOSZEWICZ A, ADAMIAK K. Discrete-time sliding-mode control with a desired switching variable generator[J]. IEEE Transactions on Automatic Control, 2019, 65(4): 1807-1814.
[21] MA H F, LI Y M, XIONG Z H. Discrete-time sliding-mode control with enhanced power reaching law[J]. IEEE Transactions on Industrial Electronics, 2019, 66(6): 4629–4638.
[22] RUBAGOTTI M, INCREMONA G P, RAIMONDO D M, et al. Constrained nonlinear discrete-time sliding mode control based on a receding horizon approach[J]. IEEE Transactions on Automatic Control, 2020, 66(8): 3802-3809.