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基于非线性干扰观测器的无人艇自适应路径跟踪控制

孙锋 慕东东

船电技术2026,Vol.46Issue(2):50-56,7.
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船电技术2026,Vol.46Issue(2):50-56,7.

基于非线性干扰观测器的无人艇自适应路径跟踪控制

Adaptive path tracking control of unmanned surface vehicles based on nonlinear disturbance observer

孙锋 1慕东东2

作者信息

  • 1. 大连中远海运重工有限公司,辽宁 大连 116113
  • 2. 大连海事大学,辽宁 大连 116026
  • 折叠

摘要

Abstract

This study addresses the issues of unknown disturbances and poor robustness in the path tracking of unmanned surface vehicles,and proposes an adaptive integral guidance control method based on a nonlinear disturbance observer.Firstly,the adaptive integral line-of-sight(AILOS)guidance law is combined with the USV dynamics controller to achieve real-time adaptive guidance of the desired heading angle and compensate for the unknown time-varying yaw angle caused by external environmental disturbances through integration.Secondly,a nonlinear disturbance observer is designed to compensate for the unknown external environmental disturbances received by the system.Then,the kinematic and dynamic control laws of the path tracking system are designed from top to bottom using the desired heading angle and the estimated disturbance value,to achieve precise path tracking control of the unmanned surface vehicles.Finally,the stability of the controller is proved by Lyapunov theory,and the SimuNPS simulation is used for verification.The simulation results show that this control method can precisely track the path and has strong robustness under specific complex disturbances.All tracking indicators of the unmanned surface vehicles controller have reached the expected goals,verifying the effectiveness of the proposed adaptive integral guidance control method.

关键词

路径跟踪控制/自适应积分视线制导/SimuNPS

Key words

path tracking control/AILOS/SimuNPS

分类

信息技术与安全科学

引用本文复制引用

孙锋,慕东东..基于非线性干扰观测器的无人艇自适应路径跟踪控制[J].船电技术,2026,46(2):50-56,7.

船电技术

1003-4862

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