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Robust optimal fractional-order interval-type-2 fuzzy integration with nonlinear PI controller of fixed-wing aerial robot.

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Title: Robust optimal fractional-order interval-type-2 fuzzy integration with nonlinear PI controller of fixed-wing aerial robot.
Authors: Yang, Yuecai1 (AUTHOR) Teach_yang@163.com
Source: Mechanics Based Design of Structures & Machines. 2025, Vol. 53 Issue 7, p5037-5059. 23p.
Subjects: Optimization algorithms, Fuzzy integrals, Membership functions (Fuzzy logic), Fuzzy systems, Robust control, Adaptive fuzzy control
Abstract: This study presents a novel approach to achieve robust and optimal control of fixed-wing aerial robots. It combines fractional-order (FO) fuzzy interval-type-2 (IT2) integration with nonlinear Proportional-Integral (PI) control. The adaptive nature of the PI controller gains ensures a more effective control strategy. To enhance the performance of the fixed-wing robot, the Bat optimization algorithm is employed to effectively fine-tune both the controller parameters and membership function parameters of the fuzzy system. The fuzzy system implemented in this research incorporates Gaussian membership functions (MFs) and adopts the Mamdani min-max method for inference, with the centroid method employed for defuzzification. To evaluate the efficacy of the proposed controllers, a series of numerical simulations are conducted. These simulations involve subjecting the aircraft system to various disturbance conditions. By comparing the performance of the proposed controllers with that of classical Proportional-Integral-Derivative (PID) controllers demonstrates the effectiveness of the novel approach. [ABSTRACT FROM AUTHOR]
Copyright of Mechanics Based Design of Structures & Machines is the property of Taylor & Francis Ltd 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.)
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  Data: Robust optimal fractional-order interval-type-2 fuzzy integration with nonlinear PI controller of fixed-wing aerial robot.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Yuecai%22">Yang, Yuecai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Teach_yang@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Mechanics+Based+Design+of+Structures+%26+Machines%22">Mechanics Based Design of Structures & Machines</searchLink>. 2025, Vol. 53 Issue 7, p5037-5059. 23p.
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  Data: <searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+integrals%22">Fuzzy integrals</searchLink><br /><searchLink fieldCode="DE" term="%22Membership+functions+%28Fuzzy+logic%29%22">Membership functions (Fuzzy logic)</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+fuzzy+control%22">Adaptive fuzzy control</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study presents a novel approach to achieve robust and optimal control of fixed-wing aerial robots. It combines fractional-order (FO) fuzzy interval-type-2 (IT2) integration with nonlinear Proportional-Integral (PI) control. The adaptive nature of the PI controller gains ensures a more effective control strategy. To enhance the performance of the fixed-wing robot, the Bat optimization algorithm is employed to effectively fine-tune both the controller parameters and membership function parameters of the fuzzy system. The fuzzy system implemented in this research incorporates Gaussian membership functions (MFs) and adopts the Mamdani min-max method for inference, with the centroid method employed for defuzzification. To evaluate the efficacy of the proposed controllers, a series of numerical simulations are conducted. These simulations involve subjecting the aircraft system to various disturbance conditions. By comparing the performance of the proposed controllers with that of classical Proportional-Integral-Derivative (PID) controllers demonstrates the effectiveness of the novel approach. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Mechanics Based Design of Structures & Machines is the property of Taylor & Francis Ltd 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: 10.1080/15397734.2025.2458716
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 5037
    Subjects:
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Fuzzy integrals
        Type: general
      – SubjectFull: Membership functions (Fuzzy logic)
        Type: general
      – SubjectFull: Fuzzy systems
        Type: general
      – SubjectFull: Robust control
        Type: general
      – SubjectFull: Adaptive fuzzy control
        Type: general
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      – TitleFull: Robust optimal fractional-order interval-type-2 fuzzy integration with nonlinear PI controller of fixed-wing aerial robot.
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              M: 07
              Text: 2025
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              Y: 2025
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            – TitleFull: Mechanics Based Design of Structures & Machines
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