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Millie Pant - One of the best experts on this subject based on the ideXlab platform.

  • A Hybrid Differential Artificial Bee Colony Algorithm based tuning of fractional Order controller for Permanent Magnet Synchronous Motor drive
    International Journal of Machine Learning and Cybernetics, 2014
    Co-Authors: Anguluri Rajasekhar, Ajith Abraham, Millie Pant
    Abstract:

    In this paper a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA) has been proposed for designing a fractional Order proportional-Integral (FO-PI) speed controller in a Permanent Magnet Synchronous Motor (PMSM) drive. FO-PI controllers’ parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more complex than that of the usual Integral-Order proportional-Integral controller. To overcome this complexity in designing, we had used the proposed hybrid algorithm, such that all the design specifications of the motor are satisfied. In Order to digitally realize the FO-PI controller, an Oustaloup approximation method has been used. Simulations and comparisons of proposed HDABCA with conventional methods and also other state-of-art methods demonstrate the competence of the proposed approach, especially for actuating fractional Order controller for integer Order plants.

  • NaBIC - A Hybrid Differential Artificial Bee Algorithm based tuning of fractional Order controller for PMSM drive
    2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
    Co-Authors: Anguluri Rajasekhar, Millie Pant, Ajith Abraham
    Abstract:

    This article proposes a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA), which combines Differential Evolution with Artificial Bee Colony Algorithm (ABCA), for designing the fractional Order proportional-Integral controller (FO-PI) in a surface-mounted Permanent Magnet Synchronous Motor (PMSM) drive. FOPI controllers' parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more intricate than that of usual Integral-Order proportional-Integral controller. Here the synthesis of controller is done according to the objective function considered. In Order to digitally realize the fractional Order PI controller, an Oustaloup approximation method is used. Simulations and comparisons of proposed HD-ABCA with conventional methods demonstrate the superiority of the proposed approach, especially for actuating fractional Order plants.

  • A Hybrid Differential Artificial Bee Algorithm based tuning of fractional Order controller for PMSM drive
    2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
    Co-Authors: Anguluri Rajasekhar, Millie Pant, Ajith Abraham
    Abstract:

    This article proposes a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA), which combines Differential Evolution with Artificial Bee Colony Algorithm (ABCA), for designing the fractional Order proportional-Integral controller (FO-PI) in a surface-mounted Permanent Magnet Synchronous Motor (PMSM) drive. FOPI controllers' parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more intricate than that of usual Integral-Order proportional-Integral controller. Here the synthesis of controller is done according to the objective function considered. In Order to digitally realize the fractional Order PI controller, an Oustaloup approximation method is used. Simulations and comparisons of proposed HD-ABCA with conventional methods demonstrate the superiority of the proposed approach, especially for actuating fractional Order plants.

Anguluri Rajasekhar - One of the best experts on this subject based on the ideXlab platform.

  • A Hybrid Differential Artificial Bee Colony Algorithm based tuning of fractional Order controller for Permanent Magnet Synchronous Motor drive
    International Journal of Machine Learning and Cybernetics, 2014
    Co-Authors: Anguluri Rajasekhar, Ajith Abraham, Millie Pant
    Abstract:

    In this paper a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA) has been proposed for designing a fractional Order proportional-Integral (FO-PI) speed controller in a Permanent Magnet Synchronous Motor (PMSM) drive. FO-PI controllers’ parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more complex than that of the usual Integral-Order proportional-Integral controller. To overcome this complexity in designing, we had used the proposed hybrid algorithm, such that all the design specifications of the motor are satisfied. In Order to digitally realize the FO-PI controller, an Oustaloup approximation method has been used. Simulations and comparisons of proposed HDABCA with conventional methods and also other state-of-art methods demonstrate the competence of the proposed approach, especially for actuating fractional Order controller for integer Order plants.

  • NaBIC - A Hybrid Differential Artificial Bee Algorithm based tuning of fractional Order controller for PMSM drive
    2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
    Co-Authors: Anguluri Rajasekhar, Millie Pant, Ajith Abraham
    Abstract:

    This article proposes a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA), which combines Differential Evolution with Artificial Bee Colony Algorithm (ABCA), for designing the fractional Order proportional-Integral controller (FO-PI) in a surface-mounted Permanent Magnet Synchronous Motor (PMSM) drive. FOPI controllers' parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more intricate than that of usual Integral-Order proportional-Integral controller. Here the synthesis of controller is done according to the objective function considered. In Order to digitally realize the fractional Order PI controller, an Oustaloup approximation method is used. Simulations and comparisons of proposed HD-ABCA with conventional methods demonstrate the superiority of the proposed approach, especially for actuating fractional Order plants.

  • A Hybrid Differential Artificial Bee Algorithm based tuning of fractional Order controller for PMSM drive
    2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
    Co-Authors: Anguluri Rajasekhar, Millie Pant, Ajith Abraham
    Abstract:

    This article proposes a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA), which combines Differential Evolution with Artificial Bee Colony Algorithm (ABCA), for designing the fractional Order proportional-Integral controller (FO-PI) in a surface-mounted Permanent Magnet Synchronous Motor (PMSM) drive. FOPI controllers' parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more intricate than that of usual Integral-Order proportional-Integral controller. Here the synthesis of controller is done according to the objective function considered. In Order to digitally realize the fractional Order PI controller, an Oustaloup approximation method is used. Simulations and comparisons of proposed HD-ABCA with conventional methods demonstrate the superiority of the proposed approach, especially for actuating fractional Order plants.

Ajith Abraham - One of the best experts on this subject based on the ideXlab platform.

  • A Hybrid Differential Artificial Bee Colony Algorithm based tuning of fractional Order controller for Permanent Magnet Synchronous Motor drive
    International Journal of Machine Learning and Cybernetics, 2014
    Co-Authors: Anguluri Rajasekhar, Ajith Abraham, Millie Pant
    Abstract:

    In this paper a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA) has been proposed for designing a fractional Order proportional-Integral (FO-PI) speed controller in a Permanent Magnet Synchronous Motor (PMSM) drive. FO-PI controllers’ parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more complex than that of the usual Integral-Order proportional-Integral controller. To overcome this complexity in designing, we had used the proposed hybrid algorithm, such that all the design specifications of the motor are satisfied. In Order to digitally realize the FO-PI controller, an Oustaloup approximation method has been used. Simulations and comparisons of proposed HDABCA with conventional methods and also other state-of-art methods demonstrate the competence of the proposed approach, especially for actuating fractional Order controller for integer Order plants.

  • NaBIC - A Hybrid Differential Artificial Bee Algorithm based tuning of fractional Order controller for PMSM drive
    2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
    Co-Authors: Anguluri Rajasekhar, Millie Pant, Ajith Abraham
    Abstract:

    This article proposes a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA), which combines Differential Evolution with Artificial Bee Colony Algorithm (ABCA), for designing the fractional Order proportional-Integral controller (FO-PI) in a surface-mounted Permanent Magnet Synchronous Motor (PMSM) drive. FOPI controllers' parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more intricate than that of usual Integral-Order proportional-Integral controller. Here the synthesis of controller is done according to the objective function considered. In Order to digitally realize the fractional Order PI controller, an Oustaloup approximation method is used. Simulations and comparisons of proposed HD-ABCA with conventional methods demonstrate the superiority of the proposed approach, especially for actuating fractional Order plants.

  • A Hybrid Differential Artificial Bee Algorithm based tuning of fractional Order controller for PMSM drive
    2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
    Co-Authors: Anguluri Rajasekhar, Millie Pant, Ajith Abraham
    Abstract:

    This article proposes a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA), which combines Differential Evolution with Artificial Bee Colony Algorithm (ABCA), for designing the fractional Order proportional-Integral controller (FO-PI) in a surface-mounted Permanent Magnet Synchronous Motor (PMSM) drive. FOPI controllers' parameters involve proportionality constant, Integral constant and Integral Order, and hence its design is more intricate than that of usual Integral-Order proportional-Integral controller. Here the synthesis of controller is done according to the objective function considered. In Order to digitally realize the fractional Order PI controller, an Oustaloup approximation method is used. Simulations and comparisons of proposed HD-ABCA with conventional methods demonstrate the superiority of the proposed approach, especially for actuating fractional Order plants.

Yakup Demir - One of the best experts on this subject based on the ideXlab platform.

Vedat Çelik - One of the best experts on this subject based on the ideXlab platform.

  • Effects on the chaotic system of fractional Order PIα controller
    Nonlinear Dynamics, 2020
    Co-Authors: Vedat Çelik, Yakup Demir
    Abstract:

    When a Lur’e-type system which cannot exhibit chaotic behavior and whose linear part is of a second Order, is tried to be controlled by an integer Order controller, chaotic behaviors can occur depending on the controller parameters. In this article, in the case when a fractional Order PIα is chosen, provided that the controller parameters remain unchanged, the effect of the Integral Order α for the interval 0

  • The effects on stability region of the fractional-Order PI controller for one-area time-delayed load–frequency control systems:
    Transactions of the Institute of Measurement and Control, 2016
    Co-Authors: Vedat Çelik, Mahmut Temel Özdemir, Gökay Bayrak
    Abstract:

    One of the controllers used in load–frequency control systems is the PI controller, taking account of time delay originating from measurement and communication. In control systems, along with the use of the fractional-Order controller, computing parameter space exhibited stable behaviour on the controller parameters and analysing its efficiency have become a significant issue. This study focuses on computing the effects of the fractional Integral Order (α) on the stable parameter space for the control of a one-area delayed load–frequency control system in the case of a fractional-Order PI controller. The effect of time delay on the stable parameter space is also investigated at different fractional Integral Orders (α) in the time-delayed system with fractional-Order PI controller. For this purpose, a characteristic equation of the delayed system with the fractional-Order PI controller is obtained, and the stable parameter spaces of the controller are computed according to the fractional Integral Order (α)...

  • Effects on the chaotic system of fractional Order PI ^ α controller
    Nonlinear Dynamics, 2009
    Co-Authors: Vedat Çelik, Yakup Demir
    Abstract:

    When a Lur’e-type system which cannot exhibit chaotic behavior and whose linear part is of a second Order, is tried to be controlled by an integer Order controller, chaotic behaviors can occur depending on the controller parameters. In this article, in the case when a fractional Order PI ^ α is chosen, provided that the controller parameters remain unchanged, the effect of the Integral Order α for the interval 0< α