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Erschienen in: Evolutionary Intelligence 3/2019

01.10.2018 | Special Issue

Research on periodic disturbance suppression method in printer paper folding mechanism based on disturbance observer algorithm

verfasst von: Bo Xu, Jiawei Li, Fei Qin, Rongyu Wang, Carine Cardoso

Erschienen in: Evolutionary Intelligence | Ausgabe 3/2019

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Abstract

The quality of the final prints in electronic-shaft paper-folding machinesseriously influenced by the mechanical periodic disturbance. This paper takes the periodic shock-disturbance and sinusoidal disturbance in the electronic-shaft paper-folding machineas as the research objects. Disturbance observer is designed based on Propotional Integral Diffrential (PID) control algorithm. Firstly this paper establishes a model of the system with MTALAB system identification tools in the process of establishing the control system. Secondly,the paper inverses this established model. In order to approximate the mode and guarantee the stability of the inversed model, zero-phase error-tracking controller (ZPETC) has been designed to remove the instable zero-point of the original model. Finally, the paper constructs the disturbance observer of the established reversed model based on PID control algorithm. The simulation on experimental platform shows that the resistivity of paper-folding machine to the external disturbance has been improved impressively and the proposed PID algorithm disturbance observer has been proved can be used in periodic disturbance suppression in the electronic-shaft paper-folding machine.

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Literatur
1.
Zurück zum Zitat Lei YU, Lida XU (2018) Research on palletizing robot based on PID iterative learning control. Mach Tool Hydraul 46(11):70–74 Lei YU, Lida XU (2018) Research on palletizing robot based on PID iterative learning control. Mach Tool Hydraul 46(11):70–74
2.
Zurück zum Zitat Jiao JY, Xue JP, Dong XM, Liu JL (2018) Quadrotor trajectory tracking based on iterative learning control method. Fire Control Command Control Jiao JY, Xue JP, Dong XM, Liu JL (2018) Quadrotor trajectory tracking based on iterative learning control method. Fire Control Command Control
3.
Zurück zum Zitat Chen Y, Chu B, Freeman CT (2017) Point-to-point iterative learning control with optimal tracking time allocation: a coordinate descent approach. IEEE Chin Control Conf 1–14 Chen Y, Chu B, Freeman CT (2017) Point-to-point iterative learning control with optimal tracking time allocation: a coordinate descent approach. IEEE Chin Control Conf 1–14
4.
Zurück zum Zitat Hsiao T (2017) Iterative learning control for trajectory tracking of robot manipulators. Int J Autom Smart Technol 7(3):133–139CrossRef Hsiao T (2017) Iterative learning control for trajectory tracking of robot manipulators. Int J Autom Smart Technol 7(3):133–139CrossRef
5.
Zurück zum Zitat Brown LJ, Zhang Q (2001) Control for canceling periodic disturbances with uncertain frequency. Proc IEEE Conf Decis Control 5:4909–4914 Brown LJ, Zhang Q (2001) Control for canceling periodic disturbances with uncertain frequency. Proc IEEE Conf Decis Control 5:4909–4914
6.
Zurück zum Zitat Rau M, Schroder D (2000) Self-learning controller for the compensation of periodic disturbances in continuous processing plants. IEEE Conf Rec Ind Appl Conf 2:1275–1282 Rau M, Schroder D (2000) Self-learning controller for the compensation of periodic disturbances in continuous processing plants. IEEE Conf Rec Ind Appl Conf 2:1275–1282
7.
Zurück zum Zitat Sun M, Ge SS (2004) Adaptive rejection of periodic & non-periodic disturbances for a class of nonlinearly parametrized systems. IEEE Proc Am Control Conf 2:1229–1234 Sun M, Ge SS (2004) Adaptive rejection of periodic & non-periodic disturbances for a class of nonlinearly parametrized systems. IEEE Proc Am Control Conf 2:1229–1234
8.
Zurück zum Zitat Na HS, Park Y (1997) An adaptive feedforward controller for rejection of periodic disturbances. J Sound Vib 201(4):427–435CrossRef Na HS, Park Y (1997) An adaptive feedforward controller for rejection of periodic disturbances. J Sound Vib 201(4):427–435CrossRef
9.
Zurück zum Zitat Vaddi SS, Alfriend KT, Vadali SR, Sengupta P (2012) Formation establishment and reconfiguration using impulsive control. J Guid Control Dyn 28(2):262–268CrossRef Vaddi SS, Alfriend KT, Vadali SR, Sengupta P (2012) Formation establishment and reconfiguration using impulsive control. J Guid Control Dyn 28(2):262–268CrossRef
Metadaten
Titel
Research on periodic disturbance suppression method in printer paper folding mechanism based on disturbance observer algorithm
verfasst von
Bo Xu
Jiawei Li
Fei Qin
Rongyu Wang
Carine Cardoso
Publikationsdatum
01.10.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Evolutionary Intelligence / Ausgabe 3/2019
Print ISSN: 1864-5909
Elektronische ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-018-0178-9

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