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动力定位船舶鲁棒自适应异步自触发控制

姚明启 张国庆 宋纯羽 张显库

哈尔滨工程大学学报2024,Vol.45Issue(7):1376-1383,8.
哈尔滨工程大学学报2024,Vol.45Issue(7):1376-1383,8.DOI:10.11990/jheu.202203045

动力定位船舶鲁棒自适应异步自触发控制

Robust adaptive asynchronous self-triggered control of dynamic positioning ships

姚明启 1张国庆 1宋纯羽 1张显库1

作者信息

  • 1. 大连海事大学 航海学院,辽宁 大连 116026
  • 折叠

摘要

Abstract

This paper presents an asynchronous self-triggered control strategy to address the challenges of communi-cation bandwidth limitations and actuator gain uncertainty in dynamic positioning ships.We introduce a novel self-triggered mechanism that overcomes the need for continuous monitoring required by conventional event-triggered methods.This mechanism calculates the next triggered instant merely depending on the current information.For a dynamic positioning ship equipped with multiple actuators,our self-triggering mechanism allows each actuator to operate independently and without interaction.This means that control signals are transmitted in an asynchronous self-triggered transmission mode in each controller-actuator communication channel.Furthermore,we have devel-oped an adaptive parameter for each actuator to estimate and compensate for its gain uncertainty through the control-ler online.The above control strategies have been verified by simulation experiments.The simulation results show that our proposed algorithm achieves high positioning accuracy and stable performance while also reducing the fre-quency of control signal transmissions to a great extent.Compared with a contrastive algorithm,our method a-chieves a 100-fold reduction in transmission times,thereby considerably lowering the low communication load.This makes it well-suited to engineering requirements.

关键词

动力定位/自触发控制/增益不确定/自适应控制/鲁棒控制/神经网络/反步法/非线性控制

Key words

dynamic positioning/self-triggered control/gain uncertainty/adaptive control/robust control/neural network/backstepping/nonlinear control

分类

信息技术与安全科学

引用本文复制引用

姚明启,张国庆,宋纯羽,张显库..动力定位船舶鲁棒自适应异步自触发控制[J].哈尔滨工程大学学报,2024,45(7):1376-1383,8.

基金项目

国家自然科学基金项目(52171291) (52171291)

辽宁省应用基础研究计划项目(2023JH2/101600039),辽宁省"兴辽英才计划"青年拔尖人才(XLYC2203129) (2023JH2/101600039)

大连市杰出青年科技人才项目(2022RJ07) (2022RJ07)

大连市重点领域创新团队支持计划(2020RT08) (2020RT08)

中央高校基本科研业务费专项资金项目(3132023137,3132023502). (3132023137,3132023502)

哈尔滨工程大学学报

OA北大核心CSTPCD

1006-7043

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