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工业机器人扰动观测器设计及在线补偿鲁棒控制

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响应目前工业市场的需求,提高工作效率,设计了一种工业机器人扰动观测器及在线补偿鲁棒控制方法.根据上述模型建立了二阶扰动器与鲁棒调节器,通过COMAU扰动追踪的方式来提升定位精度.研究结果表明,DOBC在线补偿方法通过高效识别扰动特征,使得机器人获得更强鲁棒性,从而实现位置的精确追踪,显著提高了轨迹追踪难度.分析追踪误差模值,采用基于扰动观测器实现的鲁棒控制算法能够获得更高绝对定位精度.
Design of Disturbance Observer for Industrial Robot and Robust Control of Online Compensation
According to the demand of the current industrial market,a disturbance observer and online compensation robust control method for industrial robots are designed to improve work efficiency.Based on the above model,a second-order perturbator and a robust regulator are established to improve the positioning accuracy by COMAU disturbance tracking.The results show that the DOBC online compensation method makes the robot more robust by efficiently identifying the disturbance features to achieve accurate location tracking and significantly improve the difficulty of trajectory tracking.By analyzing the tracking error modulus,the closed-loop robust control algorithm based on perturbation observer in this paper can obtain higher absolute positioning accuracy.

industrial robotonline compensationdisturbance observer,sliding mode control

崔建鹏、冯真鹏、庞勇杰

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开封大学机械与汽车工程学院,河南 开封 475000

工业机器人 在线补偿 扰动观测器 滑模控制

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(2)
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