Title :
Identification of the PEA hysteresis property using a fractional order model
Author :
Rebai, Aissa ; Guesmi, Kamel ; Gozim, Djamal ; Hemici, Boualem
Author_Institution :
Nat. Polytech. Sch. of Algiers, Algiers, Algeria
Abstract :
This paper deals with the identification of the hysteresis property existing in piezoelectric actuators (PEA). In this paper, a fractional order model is used with the Recursive Least Squares (RLS) algorithm extended to fractional order models. The proposed approach is validated through numerical simulations and a comparison study is carried out to evaluate its performances.
Keywords :
hysteresis; identification; least squares approximations; piezoelectric actuators; recursive functions; PEA hysteresis property identification; RLS algorithm; fractional order model; piezoelectric actuators; recursive least squares algorithm; Adaptation models; Computational modeling; Hysteresis; Mathematical model; Piezoelectric actuators; Sensors; Fractional order model; Hysteresis; Piezoelectric actuator; Recursive least squares;
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on
DOI :
10.1109/STA.2014.7086665
