Piezo-stepper actuators are used in many nanopositioning systems due to their high resolution, high stiffness, fast response, and the ability to position a mover over an infinite stroke by means of motion reminiscent of walking. The aim of this paper is to develop a control approach for attenuating disturbances that are caused by the walking motion and are therefore repeating in the commutation-angle domain. A new iterative learning control approach is developed for the commutation-angle domain, that addresses the iteration-varying and non-equidistant sampling that occurs when the piezo-stepper actuator is driven at varying drive frequencies by parameterizing the input and error signals. Experimental validation of the framework on a piezo-stepper actuator leads to significant performance improvements.


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    Titel :

    Commutation-angle iterative learning control for intermittent data: Enhancing piezo-stepper actuator waveforms


    Beteiligte:

    Erscheinungsdatum :

    2020-01-01


    Anmerkungen:

    Aarnoudse , L I M , Strijbosch , N W A , Verschueren , E R M & Oomen , T A E 2020 , ' Commutation-angle iterative learning control for intermittent data: Enhancing piezo-stepper actuator waveforms ' , IFAC-PapersOnLine , vol. 53 , no. 2 , pp. 8585-8590 . https://doi.org/10.1016/j.ifacol.2020.12.530



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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