Maxime Thériault, R. Irakoze, Amor Ounissi, A. Kaddouri, Y. Bouslimani, M. Ghribi
{"title":"IdPiezo: An Interactive Tool for Piezoelectric Actuator Parameters Identification and control","authors":"Maxime Thériault, R. Irakoze, Amor Ounissi, A. Kaddouri, Y. Bouslimani, M. Ghribi","doi":"10.1109/CCSSP49278.2020.9151608","DOIUrl":null,"url":null,"abstract":"This paper introduces a new interactive tool (IdPiezo) dedicated to the identification and control of piezoelectric actuators. The hysteresis model parameters are identified using metaheuristic algorithms. This tool proposes three metaheuristic algorithms: real-coded genetic algorithms, particle swarm optimization and ant-colony optimization in real domain. Three well-known hysteresis models and considered: Coleman-Hodgdon, LuGre and Prandtl-Ishlinskii. The control part of the tool gives users the option of choosing one of the control strategies available, enter its parameters and simulate the closed-loop system. IdPiezo was developed using MATLAB software but the executable version is MATLAB-free.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSSP49278.2020.9151608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper introduces a new interactive tool (IdPiezo) dedicated to the identification and control of piezoelectric actuators. The hysteresis model parameters are identified using metaheuristic algorithms. This tool proposes three metaheuristic algorithms: real-coded genetic algorithms, particle swarm optimization and ant-colony optimization in real domain. Three well-known hysteresis models and considered: Coleman-Hodgdon, LuGre and Prandtl-Ishlinskii. The control part of the tool gives users the option of choosing one of the control strategies available, enter its parameters and simulate the closed-loop system. IdPiezo was developed using MATLAB software but the executable version is MATLAB-free.