4.8 Article

Extended State Observer-Based Controller With Model Predictive Governor for 3-D Trajectory Tracking of Underactuated Underwater Vehicles

期刊

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 17, 期 9, 页码 6114-6124

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2020.3036665

关键词

Underwater vehicles; Trajectory tracking; Predictive models; Three-dimensional displays; Observers; Solid modeling; Kinetic theory; 3-D trajectory tracking; extended state observer (ESO); model predictive control (MPC); robust control; underactuated underwater vehicle

资金

  1. National Natural Science Foundation of China [U1909206, 61725305, 61633004, 61633020, 62073196, TII-20-4359]

向作者/读者索取更多资源

This article proposes a controller based on ESO for trajectory tracking of underwater vehicles, addressing challenges such as underactuation, velocity constraint, and disturbances. The use of a model predictive governor and ESO improves accuracy and stability in tracking, laying a foundation for underactuated trajectory tracking control in complex underwater environments.
In this article, an extended state observer (ESO)-based controller with a model predictive governor is designed for 3-D trajectory tracking of underactuated underwater vehicles. The proposed control scheme takes three primary challenges including underactuated property, velocity constraint, and lumped disturbance into consideration. With respect to the model predictive governor, an underactuated kinematic tracking error model is utilized to produce reference velocities. Meanwhile, a heading angle compensation mechanism is utilized to avoid the steady tracking errors resulting from dynamics coupling of the vehicle. Besides, an ESO is designed to estimate the lumped disturbances and unmeasured velocity states. Based on the ESO, a kinetic controller is offered to accomplish the precise velocity tracking only in virtue of the position and orientation information. Note that this article details both the design process of the control scheme and rigorous theoretical analysis. Eventually, simulation and experimental results demonstrate the feasibility and superiority of the proposed method. Notably, this work lays the foundation for the underactuated trajectory tracking control in complicated and turbulent underwater environments.

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