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航发叶片机器人磨削颤振检测方法

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针对机器人磨削航发叶片过程中末端执行器颤振检测不及时的问题,提出一种基于排列熵的磨削颤振检测方法.利用滑动窗口算法计算颤振原始信号的连续排列熵值,通过排列熵经验阈值 0.95 判断机器人末端是否发生颤振.其中,采用基于序数模式的排列熵算法,很大程度上提高了排列熵特征的提取效率.当信号长度为 10000 时,所提出算法的排列熵的计算时间减小到约0.25 s,比传统排列熵算法的计算时间减小了一个数量级.数值模拟及试验结果表明,所提出的方法可以在颤振爆发前约0.48 s检测出颤振,为采取颤振抑制措施争取了更多的反应时间.
Method of Chatter Detection for Robotic Grinding of Aero-Engine Blades
Aiming at the problem of untimely detection of end-effector chatter during robotic grinding of aero-engine blades,a method of chatter detection based on permutation entropy during grinding is proposed.Using the algorithm for sliding windows to calculate the continuous value of the permutation entropy of the original chatter signal,the empirical threshold of 0.95 for permutation entropy is used to determine whether chatter occurs at the end of the robot.Among them,the algorithm for the permutation entropy based on the ordinal pattern is adopted,which greatly improves the extraction efficiency of the permutation entropy.When the length of the signal is 10000,the computation time of the permutation entropy of the proposed algorithm is reduced to about 0.25 s.And the calculation time of proposed algorithm is reduced by an order of magnitude compared with the traditional algorithm of the permutation entropy.Numerical simulation and experimental results show that the proposed method can detect chatter 0.48 s earlier than the moment of chatter outbreak,which provides more reaction time for taking measures to suppress chatter.

Chattering detectionGrindingIndustrial robotPermutation entropyAero-engine blades

李鹏伟、戴士杰、张文华、母嘉恒、胡天荣

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河北工业大学,天津 300400

颤振检测 磨削加工 工业机器人 排列熵 航发叶片

国家重点研发计划

2019YFB1311104

2024

航空制造技术
北京航空制造工程研究所

航空制造技术

CSTPCD北大核心
影响因子:0.403
ISSN:1671-833X
年,卷(期):2024.67(6)