Behavioural Non-Linearties Compensation Using AdvancedFuzzyLogic Model - Couverture souple

Sharma, Reecha

 
9783659832307: Behavioural Non-Linearties Compensation Using AdvancedFuzzyLogic Model
Couverture souple
ISBN 10 : 3659832308 ISBN 13 : 9783659832307
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

The two layer fuzzylogic controller for the performance improvement of synchronous generator has been developed in this work. The two layers contain several membership functions for fuzzification, if-then rules for decision making and defuzzification method used Mamdani model using MATlab. The input data was taken on an experimental setup involving synchronous generator of industrial scale. It has been shown that the two layers provide full range control of the machine. The two layers designed and developed in the model take different control variable so as to offer the control leading to performance improvement of machine under various operating conditions. The simulation has been carried out using MATlab. The developed fuzzy logic model can be implemented through various hardware which are commercially available. The only difference in the conventional fuzzy logic control and two layer fuzzy logic .control as proposed and developed in the work is that a selector switch is required (like low range and high range selector switch is to execute different layers of FLC for the different input sub-ranges.

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Présentation de l'éditeur

The two layer fuzzylogic controller for the performance improvement of synchronous generator has been developed in this work. The two layers contain several membership functions for fuzzification, if-then rules for decision making and defuzzification method used Mamdani model using MATlab. The input data was taken on an experimental setup involving synchronous generator of industrial scale. It has been shown that the two layers provide full range control of the machine. The two layers designed and developed in the model take different control variable so as to offer the control leading to performance improvement of machine under various operating conditions. The simulation has been carried out using MATlab. The developed fuzzy logic model can be implemented through various hardware which are commercially available. The only difference in the conventional fuzzy logic control and two layer fuzzy logic .control as proposed and developed in the work is that a selector switch is required (like low range and high range selector switch is to execute different layers of FLC for the different input sub-ranges.

Biographie de l'auteur

Reecha Sharma has submitted Phd in the field of Image Processing. She has ten years of teaching experience. She has guided 15 M.Tech. students. She has published over 35 research papers in International Journals and Conferences. Her research area is Image Processing. At present she is working as Assistant Professor(ECE) Punjabi University Patiala.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659832308
ISBN 13 
9783659832307
Reliure
Broché
Nombre de pages
136
Coordonnées du fabricant
non disponible
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