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基于降阶扩张状态观测器的水下机器人自抗扰运动控制

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提出了一种基于降阶扩张状态观测器(ROESO)的水下机器人(ROV)自抗扰运动控制方法.以实验室现有的ROV为研究对象,利用流体仿真软件计算的水动力参数建立动力学模型,以深度控制为例,进行了抗干扰能力仿真分析.仿真结果验证了本文提出的控制方法相比于线性自抗扰控制(LADRC)方法具有较好的信号跟踪精度以及扰动抑制能力,较好地解决了基于ROESO的LADRC方法抗干扰能力不足的问题.
Active disturbance rejection motion control of ROV based on reduced order extended state observer
An active disturbance rejection motion control method of underwater vehicle based on reduced order extended state observer (ROESO )is proposed.Taking the existing remotely operated vehicle (ROV )in the laboratory as research object,the hydrodynamic parameters calculated by the fluid simulation software are used to establish the dynamic model,and the depth control is taken as an example to simulate and analyze the anti-interference ability.The simulation results verify that the proposed control method has better signal tracking precision and disturbance suppression ability than the linear active disturbance rejection control(LADRC)method,and better solves the problem of insufficient anti-interference ability of the LADRC method based on ROESO.

ROVmotion controllinear/nonlinear switched active disturbance rejection control

梁一飞、李永龙、王皓冉、王儒敬、刘知贵

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西南科技大学信息工程学院,四川绵阳621000

清华四川能源互联网研究院,四川成都610000

水下机器人 运动控制 线性/非线性切换自抗扰控制

四川省科技计划

2022YFSY0011

2024

传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
年,卷(期):2024.43(8)
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