Speed control of DC motor based on neural net and fuzzy logic

Authors:
Zahra Moravej
Affiliations:
Moshanir Co., Terhran, Iran
Venue:
ISTASC'05 Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation
Year:
2005

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Abstract

This paper presented the speed control of DC motor based on neural net and fuzzy logic. To bypass the difficulties caused by system constraints and modelling uncertainties of the speed control of DC motor a neural network approach for on-line speed control of DC motor is designed. In comparison to several existing neural control schemes, the proposed direct neural controller is characterized by the simplicity of its structure and its practical applicability for real time implementation.