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M. Hassan, M., A. Aly, A., F. Rashwan, A. (2007). DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR. JES. Journal of Engineering Sciences, 35(No 6), 1481-1493. doi: 10.21608/jesaun.2007.114591
Mohamed M. Hassan; Amer A. Aly; Asmaa F. Rashwan. "DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR". JES. Journal of Engineering Sciences, 35, No 6, 2007, 1481-1493. doi: 10.21608/jesaun.2007.114591
M. Hassan, M., A. Aly, A., F. Rashwan, A. (2007). 'DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR', JES. Journal of Engineering Sciences, 35(No 6), pp. 1481-1493. doi: 10.21608/jesaun.2007.114591
M. Hassan, M., A. Aly, A., F. Rashwan, A. DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR. JES. Journal of Engineering Sciences, 2007; 35(No 6): 1481-1493. doi: 10.21608/jesaun.2007.114591

DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR

Article 9, Volume 35, No 6, November and December 2007, Page 1481-1493  XML PDF (490.96 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2007.114591
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Authors
Mohamed M. Hassan; Amer A. Aly; Asmaa F. Rashwan
Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt
Abstract
Neural networks and fuzzy inference systems are becoming wellrecognized tools of designing an identifier / controller capable of perceiving the operating environment and human operator with high performance. The purpose of this paper is to identify different models for a DC-servo system using the previous identification methods and linear identification methods as ARX, ARMAX and state space models. The paper compares between these methods and presents the practical results for the application these methods.
Keywords
identification; neural network; neuro-fuzzy; DC motor
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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