Ecology of Tree-Holes and Diversity of Insect Larvae in Tree-Hole Water in Mayiladuthurai Taluk

Duraimurugan, Veerappan; Paramanandham, Joothi Pillai; Jayakumar, S.; Krishnappa, Kaliyamoorthy; Nivetha, Nadarajan

doi:10.51847/t2szriu2gk

Cited by 6 publications

(1 citation statement)

References 10 publications

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“…Autonomous underwater vehicle, as one of the fundamental equipment in the marine industry, can accomplish exploring, mapping, and identification operations in deep waters independently of the human operator [1,2]. At the same time, this system has nonlinear, time-varying dynamics and is always affected by the uncertain underwater environment [3,4]. The uncertainty in the hydrodynamic forces has turned the precise determination of model parameters, tracking control, and stabilization of this system into a challenging concern.…”

Section: Introductionmentioning

confidence: 99%

Robust Stabilization of an Autonomous Underwater Vehicle in Depth Channel by PID Interval Type-2 Fuzzy Controller

Nadia Zendedel

2023

tjjpt

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To stabilize the autonomous underwater vehicle (AUV) in the depth plane, an adaptive two-layer supervisory controller has been designed. The high nonlinearity, time-varying, and uncertain dynamics of this robot make its control a complex problem. With the aim of depth stabilization, the linear model of the vehicle in the XZ plane is decomposed into two inner and outer models to be controlled by a dual PID controller. In the second control layer two interval type-2 fuzzy controllers adjust PID coefficients adaptively to stabilize the depth position and pitch velocity of the vehicle. As the simulation results, this combined adaptive control method guarantees the robustness performance of the controlled system against the big model parameter perturbations and measurement disturbances. However, PID and PID type-1 fuzzy controllers in some senarios cannot stabilize the position of the robot in depth.

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