Hybrid-MEM-Element Feedforward: WIth Application to Hysteretic Piezoelectric Actuators

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Abstract

Hysteresis phenomena can significantly deteriorate the performance when performing servo tasks with piezo-electric actuators. The aim of this paper is to model this non-linear hysteresis effect using a memory element, in particular a MEM-element, and exploit this model to develop a feedforward controller. A one-to-one mapping is established, leading to both a systematic data-driven learning approach of a hybrid-MEM-element capturing the hysteresis phenomena and a unique inverse allowing for an intuitive design of the feedforward controller. The developed approach is experimentally validated on a piezoelectric actuator, revealing a significant performance improvement.

Original languageEnglish
Title of host publication59th IEEE Conference on Decision and Control (CDC 2020)
PublisherInstitute of Electrical and Electronics Engineers
Pages934-939
Number of pages6
ISBN (Electronic)9781728174471
DOIs
Publication statusPublished - 11 Jan 2021
Event59th IEEE Conference on Decision and Control (CDC 2020) - Virtual, Jeju Island, Korea, Republic of
Duration: 14 Dec 202018 Dec 2020
Conference number: 59
https://cdc2020.ieeecss.org/

Conference

Conference59th IEEE Conference on Decision and Control (CDC 2020)
Abbreviated titleCDC
Country/TerritoryKorea, Republic of
CityVirtual, Jeju Island
Period14/12/2018/12/20
Internet address

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