TY - JOUR
T1 - Novel Double Compensation for Impedance-Frequency Characteristics of Rotary Ultrasonic Machining via Multiobjective Genetic Algorithm
AU - Long, Zhili
AU - Zhang, Jianguo
AU - Gao, Qingbin
AU - Zhao, Heng
AU - Li, Yangmin
N1 - This work was supported in part by the Key Research and Development Program of Guangdong Province under Grant 2020Bx090926001, in part by the National Natural Science Foundation of China under Grant U1913215 and Grant U1713206, and in part by the Basic Research Plan of Shenzhen under Grant JCYJ20170413112645981 and Grant GJHZ20180928154402130.
PY - 2021/10
Y1 - 2021/10
N2 - Rotary ultrasonic machining (RUM) is a superior technology to machine hard and brittle materials. Traditionally, the compensation optimization for the RUM system is limited to a single resonant frequency. This article presents a novel double compensation approach for the impedance and frequency regulations of RUM via multiobjective genetic algorithm (MOGA) aiming to achieve the system resonance and monitor the machining process in real time. For this, we first establish the impedance model of the rotary ultrasonic holder (RUH) by adopting the T-type circuit that includes the comprehensive electromagnetic parameters. The obtained impedance model reveals that both frequency mismatch and impedance mismatch exist in the RUM system, causing the low voltage gain and low vibration transmission. To obtain the optimal compensation to match both the frequency and impedance, an optimization model-based MOGA is developed to intelligently search the accurate capacitance values, where the Pareto frontier is employed to visualize the capacitance solution distribution. Moreover, the response feature of the RUH system is attained by using the state-space equation. Detailed comparisons of four compensation topologies show that the series-series (SS) topology offers the optimal performance, which can match both of the frequency and the impedance well, improving the output active power 7.634 times compared to the conventional one. Finally, the validity of the proposed optimization method is confirmed by using both simulations and experiments.
AB - Rotary ultrasonic machining (RUM) is a superior technology to machine hard and brittle materials. Traditionally, the compensation optimization for the RUM system is limited to a single resonant frequency. This article presents a novel double compensation approach for the impedance and frequency regulations of RUM via multiobjective genetic algorithm (MOGA) aiming to achieve the system resonance and monitor the machining process in real time. For this, we first establish the impedance model of the rotary ultrasonic holder (RUH) by adopting the T-type circuit that includes the comprehensive electromagnetic parameters. The obtained impedance model reveals that both frequency mismatch and impedance mismatch exist in the RUM system, causing the low voltage gain and low vibration transmission. To obtain the optimal compensation to match both the frequency and impedance, an optimization model-based MOGA is developed to intelligently search the accurate capacitance values, where the Pareto frontier is employed to visualize the capacitance solution distribution. Moreover, the response feature of the RUH system is attained by using the state-space equation. Detailed comparisons of four compensation topologies show that the series-series (SS) topology offers the optimal performance, which can match both of the frequency and the impedance well, improving the output active power 7.634 times compared to the conventional one. Finally, the validity of the proposed optimization method is confirmed by using both simulations and experiments.
KW - Double compensation
KW - impedance match
KW - multiobjective genetic optimization (MOGA)
KW - resonant frequency
KW - rotary ultrasonic machining (RUM).
U2 - 10.1109/TASE.2020.3026317
DO - 10.1109/TASE.2020.3026317
M3 - Journal article
SN - 1545-5955
VL - 18
SP - 1928
EP - 1938
JO - IEEE Transactions on Automation Science and Engineering
JF - IEEE Transactions on Automation Science and Engineering
IS - 4
ER -