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Title: An adaptive neuro-fuzzy architecture for intelligent control of a servo system and its experimental evaluation
Authors: Aras, Ayse Cisel
Kayacan, Erdal
Oniz, Yesim
Kaynak, Okyay
Abiyev, Rahib #
Issue Date: Jul-2010
Host Document: Industrial Electronics (ISIE), 2010 IEEE International Symposium on pages:68-73
Conference: Industrial Electronics (ISIE), 2010 IEEE International Symposium on location:Bari, Italy date:4-7 July 2010
Abstract: In this paper the development of an adaptive neuro-fuzzy architecture for the speed control of a servo system with nonlinear load is presented. The synthesis of the structure is described and a learning algorithm for the neuro-fuzzy control system is derived. The supervised learning algorithm is used to train the unknown coefficients of the system, and then the fuzzy rules of the neuro-fuzzy system are generated. A number of simulation studies are carried out, and the results are compared with those obtained with a PI controller tuned using desired time response characteristics. These and the experimental studies presented show that the neuro-fuzzy control system has a better control performance than the conventional PI controller.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Non-KU Leuven Association publications
# (joint) last author

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