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.
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© 2012 IFIP International Federation for Information Processing
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KabziĆski, J. (2012). Fuzzy Friction Modeling for Adaptive Control of Mechatronic Systems. In: Iliadis, L., Maglogiannis, I., Papadopoulos, H. (eds) Artificial Intelligence Applications and Innovations. AIAI 2012. IFIP Advances in Information and Communication Technology, vol 381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33409-2_20
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DOI: https://doi.org/10.1007/978-3-642-33409-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33408-5
Online ISBN: 978-3-642-33409-2
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