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Type-2 fuzzy sliding mode control without reaching phase for nonlinear system

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Title: Type-2 fuzzy sliding mode control without reaching phase for nonlinear system
Authors: Al-khazraji, Ayman ayman.alkhazraji@yahoo.fr, Essounbouli, Najib1 najib.essounbouli@univ-reims.fr, Hamzaoui, Abdelaziz1 abdelaziz.hamzaoui@univ-reims.fr, Nollet, Frédéric1 frederic.nollet@univ-reims.fr, Zaytoon, Janan1 janan.zaytoon@univ-reims.fr
Source: Engineering Applications of Artificial Intelligence. Feb2011, Vol. 24 Issue 1, p23-38. 16p.
Subjects: Sliding mode control, Nonlinear systems, Algorithms, Perturbation theory, Robust control, Fuzzy systems
Abstract: Abstract: A new sliding mode control (SMC) algorithm for the nth order nonlinear system suffering from parameters uncertainty and subjected to an external perturbation is proposed. The algorithm employs a time-varying switching plane. At the initial time t=t 0, the plane passes through the point determined by the system initial conditions in the error state space. Afterwards, the plane moves to the origin of the state space. Since the nonlinear system is sensible to the perturbations and uncertainties during the reaching phase, the elimination of such phase yields in a considerable amelioration of system robustness. Switching plane is chosen such that: (1) the reaching phase is eliminated, (2) the nonlinear system is insensitive to the external disturbance and the model uncertainty from the initial time (3) the convergence of the tracking error to zero. Furthermore, a Type-2 fuzzy system is used to approximate system dynamics (assumed to be unknown) and to construct the equivalent controller such that: (1) all signals of closed-loop system are uniformly ultimately bounded, (2) the problems related to adaptive fuzzy controllers like singularity and constraints on the control gain are resolved. To ensure the robustness of the overall closed-loop system, analytical demonstration using Lyapunov theorem is considered. Finally, a robot manipulator is considered as a real time system in order to confirm the efficiency of the proposed approach. The experimentation is done for both regulation and tracking control problems. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 55499010
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Type-2 fuzzy sliding mode control without reaching phase for nonlinear system
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  Data: <searchLink fieldCode="AR" term="%22Al-khazraji%2C+Ayman%22">Al-khazraji, Ayman</searchLink><i> ayman.alkhazraji@yahoo.fr</i><br /><searchLink fieldCode="AR" term="%22Essounbouli%2C+Najib%22">Essounbouli, Najib</searchLink><relatesTo>1</relatesTo><i> najib.essounbouli@univ-reims.fr</i><br /><searchLink fieldCode="AR" term="%22Hamzaoui%2C+Abdelaziz%22">Hamzaoui, Abdelaziz</searchLink><relatesTo>1</relatesTo><i> abdelaziz.hamzaoui@univ-reims.fr</i><br /><searchLink fieldCode="AR" term="%22Nollet%2C+Frédéric%22">Nollet, Frédéric</searchLink><relatesTo>1</relatesTo><i> frederic.nollet@univ-reims.fr</i><br /><searchLink fieldCode="AR" term="%22Zaytoon%2C+Janan%22">Zaytoon, Janan</searchLink><relatesTo>1</relatesTo><i> janan.zaytoon@univ-reims.fr</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>. Feb2011, Vol. 24 Issue 1, p23-38. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Sliding+mode+control%22">Sliding mode control</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Perturbation+theory%22">Perturbation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Abstract: A new sliding mode control (SMC) algorithm for the nth order nonlinear system suffering from parameters uncertainty and subjected to an external perturbation is proposed. The algorithm employs a time-varying switching plane. At the initial time t=t 0, the plane passes through the point determined by the system initial conditions in the error state space. Afterwards, the plane moves to the origin of the state space. Since the nonlinear system is sensible to the perturbations and uncertainties during the reaching phase, the elimination of such phase yields in a considerable amelioration of system robustness. Switching plane is chosen such that: (1) the reaching phase is eliminated, (2) the nonlinear system is insensitive to the external disturbance and the model uncertainty from the initial time (3) the convergence of the tracking error to zero. Furthermore, a Type-2 fuzzy system is used to approximate system dynamics (assumed to be unknown) and to construct the equivalent controller such that: (1) all signals of closed-loop system are uniformly ultimately bounded, (2) the problems related to adaptive fuzzy controllers like singularity and constraints on the control gain are resolved. To ensure the robustness of the overall closed-loop system, analytical demonstration using Lyapunov theorem is considered. Finally, a robot manipulator is considered as a real time system in order to confirm the efficiency of the proposed approach. The experimentation is done for both regulation and tracking control problems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.engappai.2010.09.009
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        Text: English
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      – SubjectFull: Sliding mode control
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      – SubjectFull: Nonlinear systems
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      – SubjectFull: Algorithms
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      – SubjectFull: Perturbation theory
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      – SubjectFull: Robust control
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      – SubjectFull: Fuzzy systems
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      – TitleFull: Type-2 fuzzy sliding mode control without reaching phase for nonlinear system
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            NameFull: Al-khazraji, Ayman
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              Text: Feb2011
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