TY - GEN
T1 - Admittance Circular Series Resonance Tracking Based On BP Neural Network
AU - Wang, Xinhui
AU - Zhang, Niansong
AU - Fu, Yu
AU - Wang, Aimin
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The ultrasonic processing system includes an ultrasonic power supply, an ultrasonic transducer and a horn. In the whole ultrasonic machining system, the ultrasonic power supply plays a vital role, which determines the amplitude stability of the tool machining, the output efficiency of the ultrasonic transducer and the surface quality of the workpiece. Therefore, a fast and accurate series resonant frequency tracking algorithm is the key to ultrasonic power supply. In this paper, the resonant frequency of the transducer is tracked by the phase difference, and the series resonant frequency is obtained based on the resonant frequency point using the admittance circle characteristic of the transducer. In the process of finding the series resonance frequency, BP neural network is used to predict the dynamic resistance of the transducer. This method can not only quickly obtain the change of the dynamic resistance but also has a relatively high precision.
AB - The ultrasonic processing system includes an ultrasonic power supply, an ultrasonic transducer and a horn. In the whole ultrasonic machining system, the ultrasonic power supply plays a vital role, which determines the amplitude stability of the tool machining, the output efficiency of the ultrasonic transducer and the surface quality of the workpiece. Therefore, a fast and accurate series resonant frequency tracking algorithm is the key to ultrasonic power supply. In this paper, the resonant frequency of the transducer is tracked by the phase difference, and the series resonant frequency is obtained based on the resonant frequency point using the admittance circle characteristic of the transducer. In the process of finding the series resonance frequency, BP neural network is used to predict the dynamic resistance of the transducer. This method can not only quickly obtain the change of the dynamic resistance but also has a relatively high precision.
KW - Admittance circle
KW - BP neural network
KW - ultrasonic power supply
KW - ultrasonic transducer
UR - http://www.scopus.com/inward/record.url?scp=85137789458&partnerID=8YFLogxK
U2 - 10.1109/ICMA54519.2022.9856284
DO - 10.1109/ICMA54519.2022.9856284
M3 - Conference contribution
AN - SCOPUS:85137789458
T3 - 2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022
SP - 303
EP - 308
BT - 2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Mechatronics and Automation, ICMA 2022
Y2 - 7 August 2022 through 10 August 2022
ER -