Abstract
This paper presents a new methodology for parameter identification of a class of nonlinear servomechanisms. The key element is a closed-loop identification technique where a Proportional Derivative controller stabilizes the servomechanism. Experiments using a laboratory prototype, allows comparing the proposed approach against a standard Least Squares algorithm. It is shown that the disturbances acting on the servomechanism do not significantly affect the parameter estimates obtained using the proposed approach.
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Garrido, R., Miranda, R. (2009). Closed-Loop Identification of a Nonlinear Servomechanism: Theory and Experiments. In: Yu, W., Sanchez, E.N. (eds) Advances in Computational Intelligence. Advances in Intelligent and Soft Computing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03156-4_47
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DOI: https://doi.org/10.1007/978-3-642-03156-4_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03155-7
Online ISBN: 978-3-642-03156-4
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