Enhancing inkjet printhead performance by MIMO Iterative Learning Control using implementation based basis functions

Wassink, M.B. Groot; Bosgra, О.H.; Koekebakker, Sjirk

doi:10.1109/acc.2007.4282218

Cited by 6 publications

(10 citation statements)

References 16 publications

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“…, m are polynomial transfer functions in complex indeterminate z, and A(θ j , z) and B(θ j , z) are linear in the parameters θ j ∈ R m×1 . The parameters are indexed with θ j [n], where, e.g., θ j [3] is the third parameter. For this structure F (θ j , z) is a rational function in θ j .…”

Section: B Rational Feedforward Parameterizationmentioning

confidence: 99%

“…Therefore, the focus in the present paper is on control of the motion system in an inkjet flatbed printer. Evidently, the market value of the printer depends on many mechatronic components and their control [1], including droplet generation [2], [3], and control of the medium conditioning [4].…”

Section: Introductionmentioning

confidence: 99%

“…Employing standard feedback and feedforward controllers in this scenario generally results in moderate accuracy [7], which is robust for the changes in the tasks. On the other hand, Iterative Learning Control (ILC) [8]- [13] is known to achieve excellent accuracy in printing systems [3], [6], [14], [15], robotic applications [16], [17], and power systems [18]. In ILC, the control signals are updated from task to task by learning from measurement data of previous tasks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhancing Flatbed Printer Accuracy and Throughput: Optimal Rational Feedforward Controller Tuning Via Iterative Learning Control

Bolder

Zundert

Koekebakker³

et al. 2017

IEEE Trans. Ind. Electron.

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Section: B Rational Feedforward Parameterizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Enhancing Flatbed Printer Accuracy and Throughput: Optimal Rational Feedforward Controller Tuning Via Iterative Learning Control

Bolder

Zundert

Koekebakker³

et al. 2017

IEEE Trans. Ind. Electron.

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“…These pressure oscillations push the ink droplet out of the nozzle. A detailed description of the droplet jetting process can be found in [3]. The print quality delivered by an inkjet printhead depends on the properties of the jetted drop, i.e.…”

Section: Introductionmentioning

confidence: 99%

Minimization of cross-talk in a piezo inkjet printhead based on system identification and feedforward control

Khalate

Bombois

et al. 2012

J. Micromech. Microeng.

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The printing quality delivered by a Drop-on-Demand (DoD) inkjet printhead is severely affected by the residual oscillations in an ink channel and the cross-talk between neighboring ink channels. For a single ink channel, our earlier contribution shows that the actuation pulse can be designed, using a physical model, to effectively damp the residual oscillations. It is not always possible to obtain a good physical model for a single ink channel. A physical model for a multi-input multioutput (MIMO) inkjet printhead is made even more sophisticated by the presence of the cross-talk effect. This paper proposes a system identification-based approach to build a MIMO model for an inkjet printhead. Additionally, the identified MIMO model is used to design new actuation pulses to effectively minimize the residual oscillations and the cross-talk. Using simulation and experimental results, we demonstrate the efficacy of the proposed method. ‡ This research has been carried out as part of the Octopus project with Océ Technologies B.V. under the responsibility of the Embedded Systems Institute. This project is partially supported by the Netherlands Ministry of Economic Affairs under the Bsik program P90600.

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“…Moreover, inkjet technology is also widely used in the printing of documents. There is a lot of research in the control of the inkjet process, see [4]- [8]. Such control strategies are used to improve the print quality.…”

Section: Introductionmentioning

confidence: 99%

Iterative learning control with basis functions for media positioning in scanning inkjet printers

Bolder

Lemmen

Koekebakker

et al. 2012

2012 IEEE International Symposium on Intelligent Control

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Abstract-In printing systems, the positioning accuracy of the medium with respect to the print heads directly impacts print quality. In a regular document inkjet printer, the main task of the media positioning drive is to shift the medium after the printhead has finished a pass. Most media have the tendency to deform while it is being printed due to variations in temperature and moisture content. In order to improve print quality, we propose to move the medium during printing to counteract the deformation. These small scale trajectories are performed in an operating regime of which the dynamics considerably differ from the regular transportation step. Using iterative learning control with basis functions for both positioning tasks, the positioning accuracy of the drive is improved substantially; while keeping numerical cost low.

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Enhancing inkjet printhead performance by MIMO Iterative Learning Control using implementation based basis functions

Cited by 6 publications

References 16 publications

Enhancing Flatbed Printer Accuracy and Throughput: Optimal Rational Feedforward Controller Tuning Via Iterative Learning Control

Enhancing Flatbed Printer Accuracy and Throughput: Optimal Rational Feedforward Controller Tuning Via Iterative Learning Control

Minimization of cross-talk in a piezo inkjet printhead based on system identification and feedforward control

Iterative learning control with basis functions for media positioning in scanning inkjet printers

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