Commutation angle iterative learning control: enhancing piezo-stepper actuator waveforms

Nard Strijbosch; P.J.M.M. Tacx; Edwin R.M. Verschueren; Tom A.E. Oomen

doi:10.1016/j.ifacol.2019.11.738

Commutation angle iterative learning control: enhancing piezo-stepper actuator waveforms

Nard Strijbosch (Corresponding author), P.J.M.M. Tacx (Corresponding author), Edwin R.M. Verschueren (Corresponding author), Tom A.E. Oomen (Corresponding author)

Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review

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Piezo-stepper actuators consist of piezo elements that are able to displace a mover over an infinite stroke through walking while maintaining the high accuracy and high stiffness properties of the piezo elements. The aim of this paper is to mitigate repetitive disturbances, that are introduced by the walking behaviour, to improve the performance of piezo-stepper actuators. The key challenge is to address repeating disturbances in the position domain, which may be varying in the time domain. A new position-domain iterative learning control procedure is presented that computes a signal in the commutation angle domain that mitigates the repetitive disturbances. The results from this procedure are exploited to determine an optimal waveform for the working range of the actuator. A significant improvement in performance is achieved after applying this waveform to a piezo-stepper actuator.

Originele taal-2	Engels
Pagina's (van-tot)	579-584
Aantal pagina's	6
Tijdschrift	IFAC-PapersOnLine
Volume	52
Nummer van het tijdschrift	15
DOI's	https://doi.org/10.1016/j.ifacol.2019.11.738
Status	Gepubliceerd - sep. 2019
Evenement	8th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2019 - Vienna, Oostenrijk Duur: 4 sep. 2019 → 6 sep. 2019

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10.1016/j.ifacol.2019.11.738

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4 Citaties
1 Conferentiebijdrage

Commutation angle iterative learning control: enhancing piezo-stepper actuator waveforms
Strijbosch, N., Tacx, P. J. M. M., Verschueren, E. R. M. & Oomen, T. A. E., 4 sep. 2019, Preprints Joint Conference 8th IFAC Symposium on Mechatronic Systems (MECHATRONICS 2019), and 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2019). blz. 1451-1456 6 blz.
Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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title = "Commutation angle iterative learning control: enhancing piezo-stepper actuator waveforms",

abstract = "Piezo-stepper actuators consist of piezo elements that are able to displace a mover over an infinite stroke through walking while maintaining the high accuracy and high stiffness properties of the piezo elements. The aim of this paper is to mitigate repetitive disturbances, that are introduced by the walking behaviour, to improve the performance of piezo-stepper actuators. The key challenge is to address repeating disturbances in the position domain, which may be varying in the time domain. A new position-domain iterative learning control procedure is presented that computes a signal in the commutation angle domain that mitigates the repetitive disturbances. The results from this procedure are exploited to determine an optimal waveform for the working range of the actuator. A significant improvement in performance is achieved after applying this waveform to a piezo-stepper actuator.",

keywords = "Actuating signal, Learning control, Piezo actuators, Learning Control, Actuating Signal, Piezo Actuators",

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AU - Verschueren, Edwin R.M.

AU - Oomen, Tom A.E.

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AB - Piezo-stepper actuators consist of piezo elements that are able to displace a mover over an infinite stroke through walking while maintaining the high accuracy and high stiffness properties of the piezo elements. The aim of this paper is to mitigate repetitive disturbances, that are introduced by the walking behaviour, to improve the performance of piezo-stepper actuators. The key challenge is to address repeating disturbances in the position domain, which may be varying in the time domain. A new position-domain iterative learning control procedure is presented that computes a signal in the commutation angle domain that mitigates the repetitive disturbances. The results from this procedure are exploited to determine an optimal waveform for the working range of the actuator. A significant improvement in performance is achieved after applying this waveform to a piezo-stepper actuator.

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Commutation angle iterative learning control: enhancing piezo-stepper actuator waveforms

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Commutation angle iterative learning control: enhancing piezo-stepper actuator waveforms

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