Adaptive fuzzy control is employed in this paper for identification and modeling of AUV parameters, addressing the issues of inaccuracy and susceptibility to interference within the AUV mechanism model. This paper explores the application of fuzzy control in AUV modeling, with an adaptation law designed to respond to environmental changes. This law helps mitigate issues such as model inaccuracy and uncertainty by allowing for parameters to be adjusted dynamically. Furthermore, a sliding mode controller is introduced for enhanced robustness during hover operations. Through extensive simulations in MATLAB and SIMULINK, the efficacy and reasonableness of this method are demonstrated.