Tracking control of piezoelectric actuators using feedforward/Feedback learning-based controller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Piezoelectric actuators are commonly used in Micro/nanopositioning due to their high stiffness, fast response and ultra-high precision. However, three main factors affect their position tracking performance, namely hysteresis, creep, and structural vibrations. To overcome these limitations, a feedforward/feedback learning-based controller is proposed in this paper. The proposed controller is a learning-based controller that is capable of smoothly tracking continuous sinusoid reference signals. Simulation and experimental results using a commercial amplified piezoelectric actuator attest to the good tracking performance the proposed controller.

Original languageEnglish
Title of host publication2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1981-1985
Number of pages5
ISBN (Electronic)9781728105215
DOIs
Publication statusPublished - Apr 1 2019
Event6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 - Paris, France
Duration: Apr 23 2019Apr 26 2019

Publication series

Name2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019

Conference

Conference6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
CountryFrance
CityParis
Period4/23/194/26/19

Keywords

  • Feedforward/feedback controller
  • Learning algorithm
  • Piezoelectric Actuators
  • Position tracking control

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Control and Optimization
  • Decision Sciences (miscellaneous)

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