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基于自抗扰控制的自主水下航行器运动控制OA

Motion Control of Autonomous Underwater Vehicles Based on Active Disturbance Rejection Control

中文摘要英文摘要

为解决自主水下航行器(AUV)因强非线性、多变量耦合及复杂水下扰动导致的控制精度低、鲁棒性不足问题,开展自抗扰控制(ADRC)在AUV运动控制中的应用研究.基于刚体运动学与动力学理论,建立AUV六自由度运动模型,并通过合理假设实现水平面与垂直面的简化解耦;设计基于扩张状态观测器(ESO)的ADRC控制器,通过非线性函数优化与偏差反馈机制,实现对系统内扰(模型不确定性)与外扰(海流、海浪)的实时估计与主动补偿;在Matlab/Simulink平台构建仿真系统,将ADRC与PID、滑模控制进行对比验证.仿真结果表明:ADRC控制下AUV各状态量(姿态、速度等)收敛时间较滑模控制缩短30%以上,稳态抖振幅度较PID控制降低90%,在有无扰动工况下均保持无超调、高精度跟踪特性.研究证实ADRC无需依赖精确模型,即可显著提升AUV的动态响应速度与抗干扰能力,为复杂水下环境中的AUV控制提供有效解决方案.

To address the issues of low control accuracy and insufficient robustness of autonomous underwater vehicles(AUVs)caused by strong nonlinearity,multivariable coupling,and complex underwater disturbances,the application of active disturbance rejection control(ADRC)in AUV motion control is studied.Based on rigid body kinematics and dynamics theory,a six-degree-of-freedom motion model of the AUV is established,and the horizontal and vertical planes are simplified and decoupled through reasonable assumptions.An ADRC controller based on an extended state observer(ESO)is designed,which enables real-time estimation and active compensation of internal disturbances(model uncertainties)and external disturbances(ocean currents and waves)through nonlinear function optimization and deviation feedback mechanisms.A simulation system is constructed on the Matlab/Simulink platform to compare and validate ADRC against PID and sliding mode control.Simulation results show that under ADRC control,the convergence time of various AUV state variables(attitude,velocity,etc.)is shortened by more than 30%compared to sliding mode control,the amplitude of steady-state oscillations is reduced by 90%compared to PID control,and high-precision tracking with no overshoot is maintained under both disturbed and undisturbed conditions.It is confirmed that ADRC can significantly enhance the AUV's dynamic response speed and disturbance rejection capability without relying on an accurate model,providing an effective solution for AUV control in complex underwater environments.

文永鹏;晁克明;李晏成;董昌谨;吴宝举;余桐

国电电力浙江舟山海上风电开发有限公司,浙江 宁波 315042沈阳大学 智能科学与信息工程学院,沈阳 110044沈阳大学 智能科学与信息工程学院,沈阳 110044沈阳大学 智能科学与信息工程学院,沈阳 110044沈阳大学 交叉技术研究院,沈阳 110044自然资源部第二海洋研究所,杭州 310012

信息技术与安全科学

自主水下航行器自抗扰控制扩张状态观测器鲁棒性运动控制路径跟踪

autonomous underwater vehicleself-adaptive controlextended state observerrobustnessmotion controlpath tracking

《机电工程技术》 2026 (14)

50-54,85,6

国家重点研发计划项目(2021YFC2801102)

10.3969/j.issn.1009-9492.2026.14.008

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