Fuzzy controller synthesis using sliding mode approach

Calcev, G.; Greco, Cosimo; Bona, Basilio

doi:10.1109/ijcf.1994.375126

“…The system of fuzzy logic aims to model human reasoning and thinking, the process with linguistic variables (Issaadi, 2017;Boukadoum and Bahi, 2017). They are very useful when the process to control with some uncertainties or unknown variables (Sundarapandian and Azar, 2016;Souli-Jbali and Hidri, 2015;Ramadan, 2017;Calcev et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Speed control of a doubly-fed induction machine based on fuzzy adaptive

Saidi

¹

,

Naceri

²

2019

IJIEI

0

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In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains k e and k dce to ensure the stability of the control in particular time, simulations results obtained by using MATLAB environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.

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“…The system of fuzzy logic aims to model human reasoning and thinking, the process with linguistic variables (Issaadi, 2017;Boukadoum and Bahi, 2017). They are very useful when the process to control with some uncertainties or unknown variables (Sundarapandian and Azar, 2016;Souli-Jbali and Hidri, 2015;Ramadan, 2017;Calcev et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Speed control of a doubly-fed induction machine based on fuzzy adaptive

Saidi

¹

,

Naceri

²

2019

IJIEI

0

View full text Add to dashboard Cite

In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains k e and k dce to ensure the stability of the control in particular time, simulations results obtained by using MATLAB environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.

show abstract