Naslov
NEURAL NETWORK-BASED FRICTION AND NONLINEAR LOAD COMPENSATOR

Autori
Kovačić, Zdenko ; Petik, Viktor ; Bogdan, Stjepan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 1999 IEEE International Symposium on Industrial Electronics / - Maribor : Institute of Electrical and Electronics Engineers (IEEE), 1999, 157-162

Skup
The 1999 IEEE International Symposium on Industrial Electronics

Mjesto i datum
Bled, Slovenija, 12.07.1999. - 16.07.1999

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Fuzzy logic control; neural networks; friction compensation; servo systems
(Intelligent control; neural networks; friction compensation; servo systems)

Sažetak
In this paper, possibilities of using off-line trained neural networks as estimators and compensators of servo system nonlinearities such as friction and gravitation-dependent load have been considered. Experiments have been performed on the positioning servo system controlled by a P controller. After applying the neural network-based compensator transient responses of the system have been considerably improved. Some problems which may deteriorate the effectiveness of compensation have been observed and discussed.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

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