控制理论(社会学)
稳健性(进化)
机器人
计算机科学
水下
非线性系统
PID控制器
补偿(心理学)
控制工程
焊接
国家观察员
MATLAB语言
工程类
人工智能
控制(管理)
温度控制
心理学
机械工程
生物化学
化学
海洋学
物理
量子力学
精神分析
基因
操作系统
地质学
作者
Shengqian Li,Xiaofan Zhang
出处
期刊:Industrial Robot-an International Journal
[Emerald (MCB UP)]
日期:2023-02-17
卷期号:50 (5): 731-739
被引量:1
标识
DOI:10.1108/ir-11-2022-0274
摘要
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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