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.
Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.185-195, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_20〉
https://hal.inria.fr/hal-01521389
Contributeur : Hal Ifip
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Soumis le : jeudi 11 mai 2017 - 17:10:14
Dernière modification le : mercredi 13 décembre 2017 - 16:10:15
Document(s) archivé(s) le : samedi 12 août 2017 - 13:55:08
Jacek Kabziński. Fuzzy Friction Modeling for Adaptive Control of Mechatronic Systems. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.185-195, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_20〉. 〈hal-01521389〉
