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Input TorqueSignal Processing of Ball Screw Based on PSO-VMD Algorithm

Published: 14 October 2022 Publication History

Abstract

In view of the motion stationarity of the miniature precision ball screw pair used in aerospace in the process of transmission, the input torque signal of the mechanism is optimized by particle swarm optimization algorithm to optimize the decomposition number and penalty factor in variational mode decomposition. The signal is decomposed into various modal components and their corresponding frequencies, the signal-to-noise ratio of the torque signal is improved, the stationarity of the torque signal is analyzed, and the essential characteristics of the torque signal are obtained. It provides a certain basis for judging the motion stationarity and fault diagnosis of the ball screw used in aerospace.

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ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
June 2022
905 pages
ISBN:9781450397179
DOI:10.1145/3548608
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 14 October 2022

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