Abstract

An active disturbance rejection control based on fractional calculus is proposed to improve the motion performance and robustness of autonomous underwater vehicle (AUV). The active disturbance rejection control (ADRC) method can estimate and compensate the total disturbance of AUV automatically. The fractional-order PID (proportional integral derivative) has fast dynamic response, which can eliminate the estimation error of extended state observer. The fractional calculus active disturbance rejection strategy combines the advantages of the above two algorithms, and it is designed for AUV heading and pitch subsystems. In addition, the stability of fractional calculus ADRC heading subsystem is proven by Lyapunov stability theorem. The numerical simulations and experimental results document that the superior performance has been achieved. The fractional calculus ADRC strategy has more excellent abilities for disturbance rejection, performs better than ADRC and PID, and has important theoretical and practical value.

Highlights

  • Autonomous underwater vehicles (AUV) are playing an increasingly important role in developing unknown ocean and accomplishing different military missions in recent years

  • It combines the advantages of active disturbance rejection control (ADRC) and fractional calculus; The stability of fractional calculus active disturbance rejection system is proven by Lyapunov stability theorem; The fractional calculus active disturbance rejection is sufficiently simulated and successfully employed in heading and pitch subsystems

  • The heading angle of ADRC ranges from 7.6562◦ to 8.3081◦, and the heading angle of fractional calculus ADRC ranges from 7.8919◦ to 8.1169◦

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Summary

Introduction

Autonomous underwater vehicles (AUV) are playing an increasingly important role in developing unknown ocean and accomplishing different military missions in recent years. A diving ADRC method based on improved tracking differentiator for AUV was proposed, and the simulations verified the effectiveness [13]. The mentioned literature inspires fractional calculus ADRC scheme for AUV motion control. The fractional calculus active disturbance rejection strategy is proposed to improve the performance of AUV motion. It combines the advantages of ADRC and fractional calculus; The stability of fractional calculus active disturbance rejection system is proven by Lyapunov stability theorem; The fractional calculus active disturbance rejection is sufficiently simulated and successfully employed in heading and pitch subsystems.

Transformations between Body-Fixed and World-Fixed
Motion Equations in Six Degrees of Freedom
Motion Equations in the Horizontal Plane
Motion Equations in the Vertical Plane
Fractional Calculus and FOPID
ADRC Method
Fractional Calculus ADRC Strategy
Heading Subsystem of Fractional Calculus ADRC
Pitch Subsystem of Fractional Calculus ADRC
Stability of Fractional Calculus ADRC Subsystem
Simulations of Heading Subsystem
Method
Simulations of Pitch Subsystem
Experiments
Heading Subsystem
Depth Subsystem
Findings
Conclusions
Full Text
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