{"title":"Robust sliding mode model predictive control and thrust allocation methods for autonomous berthing of water-jet propulsion unmanned surface vehicles","authors":"Jun-Tong Qi , Wen-Chong Liang , Wen-Bo Xie , Yan Peng","doi":"10.1016/j.oceaneng.2025.121280","DOIUrl":null,"url":null,"abstract":"<div><div>For the problem of berthing control of a water-jet unmanned surface vessel (USV), a sliding mode model predictive controller with thrusts allocation (TA) method is proposed in this paper. At first, considering the TA may not perfectly match the control commands, thus the errors between controller and TA are involved in the system model as uncertainties. Then a sliding mode control (SMC) approach is designed to guarantee the system stability when control input uncertainties exist. And a Lyapunov-based model predictive control (LMPC) is proposed to inherit the robust performance of the given SMC and incorporate certain control input constraints. For the TA module, actual physical constraints of the actuators are comprehensively considered, then the TA optimization problem is solved by interior point methods to close the system loop. Simulation results demonstrate the effectiveness of the proposed method for the water-jet propulsion USV to accomplish the autonomous berthing task.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121280"},"PeriodicalIF":4.6000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S002980182500993X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
For the problem of berthing control of a water-jet unmanned surface vessel (USV), a sliding mode model predictive controller with thrusts allocation (TA) method is proposed in this paper. At first, considering the TA may not perfectly match the control commands, thus the errors between controller and TA are involved in the system model as uncertainties. Then a sliding mode control (SMC) approach is designed to guarantee the system stability when control input uncertainties exist. And a Lyapunov-based model predictive control (LMPC) is proposed to inherit the robust performance of the given SMC and incorporate certain control input constraints. For the TA module, actual physical constraints of the actuators are comprehensively considered, then the TA optimization problem is solved by interior point methods to close the system loop. Simulation results demonstrate the effectiveness of the proposed method for the water-jet propulsion USV to accomplish the autonomous berthing task.
期刊介绍:
Ocean Engineering provides a medium for the publication of original research and development work in the field of ocean engineering. Ocean Engineering seeks papers in the following topics.