A Novel Non-integer Indirect Adaptive Control for Non-integer Order Systems with Non-prior Knowledge

Bourouba, Bachir; Ladaci, Samir

doi:10.48084/etasr.3236

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Research findings on non-integer controllers indicate better quality control than Integer Order (IO) controllers. Some studies showing the advantages of implementing this control technique to stabilize the steering system of AUV's are [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Controller Design based on Fractional Calculus for AUV Yaw Control

Abdulkader

2023

Eng. Technol. Appl. Sci. Res.

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This research presents a fractional order integral controller strategy, which improves the steering angle for Autonomous Underwater Vehicles (AUVs). The AUV mathematical modeling is presented. A Fractional Order Proportional Integral (FOPI) control scheme is implemented to ensure the yaw angle stability of the AUV steering under system uncertainty. The FOPI controller is validated with MATLAB/Simulink and is compared to the conventional Integer Order PI (IOPI) controller to track the yaw angle of the structure. The simulation results show that the proposed FOPI controller outperforms the IOPI controller and improves the AUV system steering and the overall transient response while ensuring the system's stability with and without external disturbances such as underwater current and different loading conditions.

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Section: Introductionmentioning

confidence: 99%

Controller Design based on Fractional Calculus for AUV Yaw Control

Abdulkader

2023

Eng. Technol. Appl. Sci. Res.

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Robust Fuzzy Adaptive Control with MRAC Configuration for a Class of Fractional Order Uncertain Linear Systems

Bourouba

Ladaci

Illoul

2021

IJRCS

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This paper investigates a novel robust fractional adaptive control design for a class of fractional-order uncertain linear systems. Based on the Model Reference Adaptive Control (MRAC) configuration, the objective of the proposed controller is to ensure the output of the controlled plant to track the output of a given reference model system, while maintaining the overall closed-loop stability despite external disturbances and model uncertainties. An adaptive fuzzy logic controller is employed to eliminate unknown dynamics and disturbance. Lyapunov stability analysis demonstrates and verifies the desired fractional adaptive control system stability and tracking performance. Numerical simulation results illustrate the efficiency of the proposed adaptive fuzzy control strategy to deal with uncertain and disturbed fractional-order linear systems.

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A Novel Non-integer Indirect Adaptive Control for Non-integer Order Systems with Non-prior Knowledge

Cited by 2 publications

References 17 publications

Controller Design based on Fractional Calculus for AUV Yaw Control

Controller Design based on Fractional Calculus for AUV Yaw Control

Robust Fuzzy Adaptive Control with MRAC Configuration for a Class of Fractional Order Uncertain Linear Systems

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