Fuzzy Friction Modeling for Adaptive Control of Mechatronic Systems

Abstract : We discuss several fuzzy models to approximate friction and other disturbances in mechatronic systems, especially linear and rotarional electrical drives. Some methods of experimental identification of disturbance forces are presented. We consider several fuzzy models to compromise between model accuracy and complexity. Fuzzy model is used in an adaptive control loop. Several adaptive control algorithms are discussed and the influence of fuzzy model accuracy on the system performance is investigated.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [6 references]  Display  Hide  Download

https://hal.inria.fr/hal-01521389
Contributor : Hal Ifip <>
Submitted on : Thursday, May 11, 2017 - 5:10:14 PM
Last modification on : Wednesday, December 13, 2017 - 4:10:15 PM
Document(s) archivé(s) le : Saturday, August 12, 2017 - 1:55:08 PM

File

978-3-642-33409-2_20_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Jacek Kabziński. Fuzzy Friction Modeling for Adaptive Control of Mechatronic Systems. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.185-195, ⟨10.1007/978-3-642-33409-2_20⟩. ⟨hal-01521389⟩

Share

Metrics

Record views

58

Files downloads

46