Research on adaptive input shaping control of fruits and vegetable harvesting robot arm

被引:5
|
作者
Liu D.-X. [1 ]
Zhang J.-C. [1 ]
Li Y. [1 ]
Fang J.-J. [2 ]
机构
[1] College of Robotics, Beijing Union University, Beijing
[2] College of Urban Rail Transit and Logistics, Beijing Union University, Beijing
关键词
adaptive input shaping; harvesting robot arm; variable flexible load; vibration control;
D O I
10.7641/CTA.2021.10692
中图分类号
学科分类号
摘要
The acceleration and deceleration motion of the end of the actuator causes the fruit swing during the movement after vegetable harvesting robot arm clamp the stem, which is easy to lead to fruit falling and failure of picking. In this paper, a single tomato is treated as a payload and stem as flexible link. An adaptive input shaping algorithm for vibration control of variable flexible load of the fruits and vegetable harvesting robot arm was proposed as the mass of each fruit is different. Traditional input shaping algorithm could not restrain vibration of flexible link in the process of movement while the system model changed during load varied. Then an adaptive input shaping algorithm where amplitude and timing of impulses are tuned during operation to match the system under control. Solutions giving zero residual vibration are formulated in terms of a quadratic cost function and constructed by iterative operations on measured sets of robot arm and slant angle of load data. The adaptive input shaping algorithm is tested on a one-dimensional numerical control slide rail, and the results show the adaptive input shaping algorithm can solve load-varying vibration control problem. Simulations are carried out and tail vibration suppressing ability is qualified. © 2022 South China University of Technology. All rights reserved.
引用
收藏
页码:1043 / 1050
页数:7
相关论文
共 18 条
  • [1] LIU Jizhan, LI Zhiguo, LI Pingping, Research on Rapid Nondestructive Operation of Tomato Picking Robot, (2018)
  • [2] MENG Qingxin, LAI Xuzhi, YAN Ze, Et al., Position control without residual vibration for a two-link rigid-flexible, Control Theory & Applications, 37, 3, pp. 620-628, (2020)
  • [3] SINGER N C, SEERING W P., Preshaping command inputs to reduce system vibration, Journal of Dynamic Systems Measurement and Control, 112, pp. 667-674, (1990)
  • [4] COLE M O T., A discrete-time approach to impulse-based adaptive input shaping for motion control without residual vibration, Automatica, 47, 2011, pp. 2504-2510, (2011)
  • [5] COLE M O T, WONGRATANAPHISAN T., A direct method of adaptive FIR input shaping for motion control with zero residual vibration, IEEE/ ASME Transactions on Mechatronics, 18, 1, pp. 316-327, (2013)
  • [6] COLE M O T, KURESANGSAI P., Convolution-based input shaping for finite-time settling in non-LTI systems: an LTV approach, Proceedings of IEEE Conference on Control Technology and Applications (CCTA), 8, pp. 19-21, (2019)
  • [7] CHATLATANAGULCHAI W, POEDAENG P, PONGPANICH N., Improving closed-loop signal shaping of flexible systems with Smith predictor and quantitative feedback, Engineering Journal, 20, 5, pp. 155-168, (2015)
  • [8] ZHAO Y, CHEN W, TANG T, Et al., Zero time delay input shaping for smooth settling of industrial robors, Proceedings of IEEE International Conference on Automation Science and Engineering (CASE), pp. 620-625, (2016)
  • [9] OOMEN T, MAAS R, ROJAS C, Et al., Iterative data-driven H∞ norm estimation of multivariable systems with application to robust active vibration isolation, IEEE Transactions on Control Systems Technology, 22, 6, pp. 2247-2260, (2014)
  • [10] LU Biao, WU Zhuang, FANG Yongchun, Et al., Input shaping control for underactuated dual overhead crane system with holonomic constraints, Control Theory &Applications, 35, 12, pp. 1805-1811, (2018)