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Title: Parametric identification methods applied to an electromechanical plant
Authors: Diego F. Sendoya-Losada
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2017
Volume: 12
Issue: 24
Language: English
The aim of this study is to identify the model for an electromechanical plant. This is done by the use of parametric identification methods. In this contribution, the Least Square Method (LS), the Instrumental Variables Method (IV) and the Prediction Error Method (PE) are used for identification. The identification is performed on input-output data generated by applying a PRBS signal to the motor of the electromechanical plant. Once the identification is done, the obtained models are validated by using sine waves with different frequencies as input signals.
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