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

TL;DR

This paper presents a novel fuzzy logic-based cascade control method for unmanned underwater vehicles that effectively prevents actuator saturation during trajectory tracking, enhancing robustness and accuracy.

Contribution

It introduces a combined fuzzy logic-refined backstepping and sliding mode control approach to eliminate actuator saturation in UUV trajectory control.

Findings

Control velocities stay within acceptable ranges.

Trajectory tracking accuracy is improved.

Actuator saturation is effectively prevented.

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.