Application of Multichannel Active Vibration Control in a Multistage Gear Transmission System
Author(s) -
Feng Zhang,
Weihao Sun,
Chao Liu,
Hongchao Xiao,
Zhang Yong
Publication year - 2022
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/2022/9970106
Subject(s) - convergence (economics) , vibration , active vibration control , control theory (sociology) , transmission (telecommunications) , engineering , continuously variable transmission , rate of convergence , transmission system , computer science , actuator , algorithm , vibration control , control (management) , acoustics , channel (broadcasting) , physics , artificial intelligence , electrical engineering , economics , economic growth
Gears are the most important parts of rotating machinery and power transmission devices. When gears are engaged in meshing transmission, vibration will occur due to factors such as gear machining errors, meshing rigidity, and meshing impact. The traditional FxLMS algorithm, as a common active vibration algorithm, has been widely studied and applied in gear transmission system active vibration control in recent years. However, it is difficult to achieve good performance in convergence speed and convergence precision at the same time. This paper proposes a variable-step-size multichannel FxLMS algorithm based on the sampling function, which accelerates the convergence speed in the initial stage of iteration, improves the convergence accuracy in the steady-state adaptive stage, and makes the modified algorithm more robust. Simulations verify the effectiveness of the algorithm. An experimental platform for active vibration control of the secondary gear transmission system is built. A piezoelectric actuator is installed on an additional gear shaft to form an active structure and equipped with a signal acquisition system and a control system; the proposed variable-step-size multichannel FxLMS algorithm is experimentally verified. The experimental results show that the proposed multichannel variable-step-size FxLMS algorithm has more accurate convergence accuracy than the traditional FxLMS algorithm, and the convergence accuracy can be increased up to 123%.
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