Closed-loop inverse iterative learning control in frequency-domain for electromagnetic driven compliant micro-positioning platform

被引:0
|
作者
Zhang X. [1 ]
Lai L.-J. [1 ]
Li P.-Z. [2 ,3 ]
Zhu L.-M. [4 ]
机构
[1] School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai
[2] Changchun Institute of Optic, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun
[3] School of Computing and Engineering, University of Gloucestershire, Cheltenham
[4] State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai
关键词
Compliant mechanism; Frequency-domain inverse iteration; Micro-positioning stage; Phase-lead; Voice coil motor;
D O I
10.37188/OPE.20212909.2149
中图分类号
学科分类号
摘要
To overcome the problems of low damping resonance and different dynamics properties in the large-range compliant micro-positioning stage driven by a voice coil motor, a compound closed-loop frequency-domain inverse iterative learning control method based on data-driven frequency-domain inverse iterative feedforward compensation and PI feedback control with phase-lead compensation is used for high-speed and high-precision control. First, the micro-positioning stage with a double-parallelogram flexure mechanism driven by a voice coil motor is built, and a dynamics model is identified for different working positions. Then, a PI feedback controller with phase-lead compensation is designed to improve the relative stability of the positioning system. Input and output data are then used for online inverse estimation of the system frequency response function, which can be used as feedforward compensation to further eliminate the resonance effect. Finally, tracking experiments are conducted using the proposed control method, which is then compared with other methods. Experimental results show that the maximum tracking error for the triangular trajectory using the proposed control method is 0.175%. Compared with a PID control, phase-leading PI control, and transfer function inverse feedforward control, the root mean square errors of tracking are reduced by 8.75, 5.43, and 2.21 times, respectively, which can better meet the requirements of high tracking accuracy, fast speed, and strong anti-interference ability of large stroke micro/nano-positioning. © 2021, Science Press. All right reserved.
引用
收藏
页码:2149 / 2157
页数:8
相关论文
共 14 条
  • [1] CUI J, WANG D F., Feedforward compensation control of X-Y precise positioning table using inversed-sensitive function, Opt. Precision Eng, 23, 4, pp. 1081-1087, (2015)
  • [2] WANG F C, WANG Y T, TIAN D P., Perfect tracking control for fast-steering mirror driven by voice coil motor, Opt. Precision Eng, 28, 9, pp. 1997-2006, (2020)
  • [3] Three-dimensional coordinate measurement of microstructures based on nano measuring machine, Opt. Precision Eng, 28, 10, pp. 2252-2259, (2020)
  • [4] ITO S, TROPPMAIR S, LINDNER B, Et al., Long-range fast nanopositioner using nonlinearities of hybrid reluctance actuator for energy efficiency, IEEE Transactions on Industrial Electronics, 66, 4, pp. 3051-3059, (2019)
  • [5] XU Q., New flexure parallel-kinematic micropositioning system with large workspace [J], IEEE Transactions on Robotics, 28, 2, pp. 478-491, (2011)
  • [6] PARMAR G, BARTON K, AWTAR S., Large dynamic range nanopositioning using iterative learning control, Precision engineering, 38, 1, pp. 48-56, (2014)
  • [7] CSENCSICS E, SCHLARP J, SCHITTER G., High-performance hybrid-reluctance-force-based tip/tilt system: Design, control, and evaluation, IEEE/ASME Transactions on Mechatronics, 23, 5, pp. 2494-2502, (2018)
  • [8] ZHANG Z, YANG X, YAN P., Large dynamic range tracking of an XY compliant nanomanipulator with cross-axis coupling reduction, Mechanical Systems and Signal Processing, 117, pp. 757-770, (2019)
  • [9] KANG S, LEE M G, CHOI Y M., Six Degrees-of-Freedom Direct-Driven Nanopositioning Stage using Crab-Leg Flexures, IEEE/ASME Transactions on Mechatronics, pp. 513-525, (2020)
  • [10] DAI Y F, DUAN W R, WANG G L, Et al., Modeling and performance analysis of fast knife servo system driven by voice coil motor, Journal of National University of Defense Technology, 30, 1, pp. 78-82, (2008)