Assessment of capacitor-based charge estimators for piezoelectric actuators

Mortezaa Mohammadzaheri, Sami AlSulti, Mojtaba Ghodsi, Issam Bahadur, Mohammadreza Emadi

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

3 Citations (Scopus)


This paper focuses at charge estimators of piezoelectric actuators with a sensing capacitor. They have been claimed in the literature to be outperformed by their newly emerged competitors, charge estimators with a sensing resistor, widely known as digital charge estimators. This paper proposes a digital implementation of capacitor-based estimators and compares them with resistor-based ones both analytically and experimentally. Although, the sensing capacitors are normally bulkier than the sensing resistors used in newer resistor-based estimators; a resistor-based estimator needs to have a variable resistance to deal with different excitation frequencies satisfactorily; this is a major drawback which does not exist in capacitor-based estimators. Both capacitor-based and resistor-based estimators, if designed appropriately, are quite comparable in terms of voltage drop and range of measurable charge. This research concludes that capacitor-based estimators, with right design and implementation, can be still of wide use in nanopositioning.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Mechatronics, ICM 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728144429
ISBN (Print)9781728144429
Publication statusPublished - Mar 7 2021
Externally publishedYes
Event2021 IEEE International Conference on Mechatronics, ICM 2021 - Kashiwa, Japan
Duration: Mar 7 2021Mar 9 2021

Publication series

Name2021 IEEE International Conference on Mechatronics (ICM)


Conference2021 IEEE International Conference on Mechatronics, ICM 2021


  • Actuator
  • Capacitor
  • Charge
  • Nanopositioning
  • Piezoelectric

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization


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