TY  - GEN
AU  - Aras,Ayse Cisel
TI  - An Adaptive Neuro-Fuzzy Architecture for Intelligent Control of a Servo System and its Experimental Evaluation
SN  - 978-1-4244-6391-6
AV  - TK5105.5  
PY  - 2010///
PB  - IEEE
KW  - Network
KW  - Near East University Article
KW  - Yakın Doğu Üniversitesi Makale
N2  - 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
UR  - http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1109/ISIE.2010.5637706
ER  -