Tracking Performance Of Maglev System Using Type-2 Fuzzy Logic Control: Interval Type-2 Fuzzy Logic Controller (IT2FLC), Interval Type-2 SIFLC, Interval Type-2 Fuzzy Sliding Mode Controller - Couverture souple

Kumar, Anupam; Kumar, Vijay; Panda, Manoj Kumar

 
9783659151637: Tracking Performance Of Maglev System Using Type-2 Fuzzy Logic Control: Interval Type-2 Fuzzy Logic Controller (IT2FLC), Interval Type-2 SIFLC, Interval Type-2 Fuzzy Sliding Mode Controller
Couverture souple
ISBN 10 : 3659151637 ISBN 13 : 9783659151637
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

This research work is mainly focused on suspending the steel ball without any mechanical support in desired position and how the Magnetic Levitation System works in presence of disturbance with help of an efficient controller.The tracking performance and robustness is also checked for this system. For tracking, two type of reference trajectory are modelled. One is sine wave and other is a set of constant point varying at different levels. Lastly for robust performance, disturbance is applied in MLS.For this task we have designed Interval Type-2 Fuzzy Logic Controller (IT2FLC), Interval Type-2 Single Input Fuzzy Logic Controller (IT2SIFLC), Interval Type-2 Fuzzy Sliding Mode Controller (IT2FSMC) based on theory of type-2 fuzzy logic systems. Uncertainty is an inherent part of intelligent systems used in real world applications. Conventional controllers can not fully handle the uncertainties present in real-time systems. Type-2 fuzzy sets that are used in type-2 fuzzy systems can handle such uncertainties in a better way because they provide us an extra degree of freedom. At last The designed controller’s performance is compared with the feedback linearization control.

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Présentation de l'éditeur

This research work is mainly focused on suspending the steel ball without any mechanical support in desired position and how the Magnetic Levitation System works in presence of disturbance with help of an efficient controller.The tracking performance and robustness is also checked for this system. For tracking, two type of reference trajectory are modelled. One is sine wave and other is a set of constant point varying at different levels. Lastly for robust performance, disturbance is applied in MLS.For this task we have designed Interval Type-2 Fuzzy Logic Controller (IT2FLC), Interval Type-2 Single Input Fuzzy Logic Controller (IT2SIFLC), Interval Type-2 Fuzzy Sliding Mode Controller (IT2FSMC) based on theory of type-2 fuzzy logic systems. Uncertainty is an inherent part of intelligent systems used in real world applications. Conventional controllers can not fully handle the uncertainties present in real-time systems. Type-2 fuzzy sets that are used in type-2 fuzzy systems can handle such uncertainties in a better way because they provide us an extra degree of freedom. At last The designed controller’s performance is compared with the feedback linearization control.

Biographie de l'auteur

Currently, he is pursuing his M.Tech in System modeling and control from Indian institute of technology Roorkee, India. He has done extensive research work in the field of control of Magnetic Levitation System (MLS). His current area of research includes Fuzzy Control, Soft Computing techniques and its applications in Control System.

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
2012
Langue
anglais
ISBN 10 
3659151637
ISBN 13 
9783659151637
Reliure
Broché
Nombre de pages
84
Coordonnées du fabricant
non disponible
Personne responsable
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