Tracking control for small autonomous underwater vehicles in the Trans-Atlantic Geotraverse hydrothermal field based on the modeling trajectory. (October 2022)

• Record Type: Journal Article
• Authors: Chen, Guofang; Sheng, Mingwei; Wan, Lei; Liu, Yihui; Zhang, Ziyang; Xu, Yufei
• Is Part Of: Applied ocean research. Volume 127(2022)
• Publication Date: 2022-10
• Subjects: TAG active hydrothermal mound -- Small autonomous underwater vehicle -- Fixed-time trajectory tracking control -- Adaptive extended state observer -- The modeled trajectory; Ocean engineering -- Periodicals; 620.416205
• DOI: 10.1016/j.apor.2022.103281
• Languages: English
• ISSNs: 0141-1187

Abstract

Highlights: A multi-parameter high-order extended state observer is designed to estimate lumped uncertainties. A fixed-time fault-tolerant adaptive trajectory tracking controller is presented. The desired trajectory is constructed by interpolating the path. The simulation topography is built according to the TAG active mound. Abstract: This paper investigates the fixed-time trajectory tracking problem of small autonomous underwater vehicles (S-AUVs) in the Trans-Atlantic Geotraverse (TAG) active mound with ocean current, unknown disturbances, model uncertainties, actuator faults, and input saturations. First, the effect of the near-bottom environment of the mound on S-AUVs is analyzed in detail from three issues. Without the upper bound and gradient of lumped uncertainties, a high-order adaptive extended state observer (ESO) is designed. Then, a continuous fixed-time sliding mode manifold is applied to obtain fast convergence performance. In order to realize the fixed-time convergence of tracking errors, an adaptive fault-tolerant trajectory tracking control law with an auxiliary dynamic system (ADS) is proposed. In addition, the simulated topography of the TAG mound is constructed and the trajectory based on path points is modeled by cubic spline interpolation. The effectiveness and superiority of the proposed algorithm are validated by comprehensive simulations.