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A Fuzzy Logic-based Cascade Control without Actuator Saturation for the Unmanned Underwater Vehicle Trajectory Tracking

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Abstract

An intelligent control strategy is proposed to eliminate the actuator saturation problem that exists in the trajectory tracking process of unmanned underwater vehicles (UUV). The control strategy consists of two parts: for the kinematic modeling part, a fuzzy logic-refined backstepping control is developed to achieve control velocities within acceptable ranges and errors of small fluctuations; on the basis of the velocities deducted by the improved kinematic control, the sliding mode control (SMC) is introduced in the dynamic modeling to obtain corresponding torques and forces that should be applied to the vehicle body. With the control velocities computed by the kinematic model and applied forces derived by the dynamic model, the robustness and accuracy of the UUV trajectory without actuator saturation can be achieved.

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Acknowledgements

This work was supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada.

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Authors and Affiliations

  1. Advanced Robotics & Intelligent System (ARIS) Laboratory and Advanced & Intelligent Control for Vehicles (AICV) Laboratory, School of Engineering, University of Guelph, Guelph, ON, N1G 2W1, Canada

    Danjie Zhu, Simon X. Yang & Mohammad Biglarbegian

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  1. Danjie Zhu
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  3. Mohammad Biglarbegian
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Correspondence to Simon X. Yang.

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Zhu, D., Yang, S.X. & Biglarbegian, M. A Fuzzy Logic-based Cascade Control without Actuator Saturation for the Unmanned Underwater Vehicle Trajectory Tracking. J Intell Robot Syst 106, 39 (2022). https://doi.org/10.1007/s10846-022-01742-w

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