Open AccessStudy on Moving Strategy of Internal Mechanical On-Line Balancing System
Author(s) -
Huimin Zhou,
Zhan Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/6/062036
Subject(s) - dynamic balance , computer science , control theory (sociology) , process (computing) , block (permutation group theory) , path (computing) , balance (ability) , simulation , control (management) , engineering , mathematics , mechanical engineering , artificial intelligence , medicine , geometry , physical medicine and rehabilitation , programming language , operating system
Mechanical balancing system driven by the motor can cause wrong adjustment and long balancing time in the controlling process, which will result in lower accuracy of rotation. In order to solve this problem and achieve more efficient online dynamic balance, the optimal moving path of the built-in mass block of balancing device can be determined by us. Four kinds of moving paths for mass block are designed by using for balancing to make experimental verification of spindle dynamic balance movement. By comparing experimental results of balance accuracy and balance efficiency, the optimal dynamic balancing strategy is determined. The results show that the designed moving strategy is reasonable, and the moving optimized path can carry out more accurate control precision and shorter adjustment time to achieve the expected effect. The better control strategy of dynamic balance lays the foundation for the high-precision operation of the spindle system.