Optimal Disturbances Rejection Control for Autonomous Underwater Vehicles in Shallow Water Environment

Joint Authors

Tang, Gong-You
Yang, Qing
Su, Hao
Gao, De-Xin

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-03-29

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

To deal with the disturbances of wave and current in the heading control of Autonomous Underwater Vehicles (AUVs), an optimal disturbances rejection control (ODRC) approach for AUVs in shallow water environment is designed to realize this application.

Based on the quadratic optimal control theory, the AUVs heading control problem can be expressed as a coupled two-point boundary value (TPBV) problem.

Using a recently developed successive approximation approach, the coupled TPBV problem is transformed into solving a decoupled linear state equation sequence and a linear adjoint equation sequence.

By iteratively solving the two equation sequences, the approximate ODRC law is obtained.

A Luenberger observer is constructed to estimate wave disturbances.

Simulation is provided to demonstrate the effectiveness of the presented approach.

American Psychological Association (APA)

Yang, Qing& Su, Hao& Tang, Gong-You& Gao, De-Xin. 2017. Optimal Disturbances Rejection Control for Autonomous Underwater Vehicles in Shallow Water Environment. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1192378

Modern Language Association (MLA)

Yang, Qing…[et al.]. Optimal Disturbances Rejection Control for Autonomous Underwater Vehicles in Shallow Water Environment. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1192378

American Medical Association (AMA)

Yang, Qing& Su, Hao& Tang, Gong-You& Gao, De-Xin. Optimal Disturbances Rejection Control for Autonomous Underwater Vehicles in Shallow Water Environment. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1192378

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1192378