基于模型补偿的水下焊接机器人自抗扰控制技术研究

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL
Shengqiang Li, Xiaofan Zhang
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引用次数: 0

摘要

目的提出一种基于模型补偿的自抗扰控制器(ADRC)。该方法首先应取机器人的标称模型进行补偿。随后,利用膨胀状态观测器实时估计和补偿不确定的外部干扰,减小了膨胀状态观测器的观测估计范围。本文的目的是提出一种新的方法来提高系统的跟踪性能,以及动态和静态性能指标。焊接机器人是一个具有不确定性、时变、强耦合和非线性的复杂系统;它就像在水下环境中使用一样复杂,很难建立精确的水下焊接机器人动力学模型。针对水下焊接机器人的跟踪控制问题,采用传统的比例积分导数法实现焊缝自动跟踪难以达到控制性能要求。通过MATLAB/Simulink进行仿真实验,并对应用实验进行了记录。实验结果表明,该控制方法正确有效,系统跟踪性能稳定,提高了系统的鲁棒性和跟踪精度。独创性/价值接缝更丰满光滑,延续性更好,无凹边现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on active disturbance rejection control technique for underwater welding robot based on model compensation
Purpose An active disturbance rejection controller (ADRC) based on model compensation is proposed in this paper. The method should first be taken a nominal model of the robot to compensate. Subsequently, the uncertain external disturbance is estimated and compensated is used an expansion state observer (ESO) in real time, which can reduce the estimating range of observation for ESO. The purpose of this paper is to suggest a novel method to improve the system tracking performance, as well as the dynamic and static performance index. Design/methodology/approach A welding robot is a complicated system with uncertainty, time-varying, strong coupling and a nonlinear system; it is more complex as if it is used in an underwater environment, and it is difficult to establish an accurate dynamic model for an underwater welding robot. Aiming at the tracking control of an underwater welding robot, it is difficult to achieve the control performance requirements by the conventional proportional integral derivative method to realize automatic tracking of the seam. Findings The simulation experiment is carried out by MATLAB/Simulink, and the application experiment is recorded. The experimental results show that the control method is correct and effective, and the system’s tracking performance is stable, and the robustness and tracking accuracy of the system are also improved. Originality/value The seam gets plumper and smoother, with better continuity and no undercut phenomenon.
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
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