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Novel Approach to Direct Adaptive Fuzzy Control Applied to the Asynchronous Machine
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Novel Approach to Direct Adaptive Fuzzy Control Applied to the Asynchronous Machine

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Abstract:

This paper presents an advanced direct adaptive fuzzy control for asynchronous machine which uses the theory of approximation and the theory of Lyapunov to establish a parametric adaptation law ensuring the stability and boundedness of all the control signals and the tracking error. In the direct approach, the fuzzy system is used to describe directly the control law and the parameters of the fuzzy system are directly adjusted to achieve the control objectives. Through the obtained results, stable direct adaptive fuzzy control generalized has proved a great effectiveness and a strong robustness in the presence of parameter variations and disturbances.

Info:

Periodical:
International Letters of Chemistry, Physics and Astronomy (Volume 55)
Pages:
136-149
DOI:
https://doi.org/10.18052/www.scipress.com/ILCPA.55.136
Citation:
M. Fodil et al., "Novel Approach to Direct Adaptive Fuzzy Control Applied to the Asynchronous Machine", International Letters of Chemistry, Physics and Astronomy, Vol. 55, pp. 136-149, 2015
Online since:
July 2015
Authors:
M. Fodil, S. Barkat, B.D. Boukhetala
Keywords:
Adaptive Control, Asynchronous Machine, Fuzzy Adaptive Law, Fuzzy Systems, Lyapunov Function, Stability Analysis
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