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Course keeping Control Based on Integrated Nonlinear Feedback for a USV with Pod-like Propulsion

Published online by Cambridge University Press:  13 February 2018

Yunsheng Fan ,
Dongdong Mu ,
Xianku Zhang ,
Guofeng Wang  and
Chen Guo
Yunsheng Fan*
Affiliation:
(Information Science and Technology College, Dalian Maritime University, Dalian, China)
Dongdong Mu
Affiliation:
(Information Science and Technology College, Dalian Maritime University, Dalian, China)
Xianku Zhang
Affiliation:
(Navigation College, Dalian Maritime University, Dalian, China)
Guofeng Wang
Affiliation:
(Information Science and Technology College, Dalian Maritime University, Dalian, China)
Chen Guo
Affiliation:
(Information Science and Technology College, Dalian Maritime University, Dalian, China)
*
(E-mail: [email protected])
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Abstract

In this paper, a response model of an Unmanned Surface Vehicle (USV) with a pod-like propulsion device is established. To improve the robustness of motion control in heavy sea states, an integrated nonlinear feedback course-keeping controller is proposed. First, to establish a response model of a USV with pod-like propulsion, model parameters are obtained by the method of system identification, then an integrated nonlinear feedback control strategy is proposed. The essence of this method is to make the original error signal pass through a nonlinear function, and then the output of this function is used to replace the original error signal. Simulation results show that under ordinary sea states, nonlinear feedback can save up to 34.5% of energy used compared with standard feedback methods; under heavy sea states, this can rise to 40.8%. A set of field experiments were carried out with a USV with pod-like propulsion. Results show that under heavy sea states, the test USV can maintain the target course well, which proves the correctness of the model and the robustness of the proposed method.

Keywords

USVPod-like propulsionModel Parameters IdentificationCourse Keeping ControlIntegrated Nonlinear Feedback
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 4 , July 2018 , pp. 878 - 898
Copyright
Copyright © The Royal Institute of Navigation 2018 

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