Simulation of Adaptive Control Strategy for Electrical Discharge Machining Process

doi:10.1007/s12204-014-1577-4

上海交通大学学报（英文版） ›› 2015, Vol. 20 ›› Issue (4): 408-414.doi: 10.1007/s12204-014-1577-4

Simulation of Adaptive Control Strategy for Electrical Discharge Machining Process

YANG Qing-zhao (杨青照), ZHOU Ming* (周明), TIAN Hong-sen (田洪森),ZHANG Hui-sheng (张惠生), XU Dong-hui(许东晖)

(School of Mechanical-Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

发布日期:2015-08-05
通讯作者: ZHOU Ming (周明) E-mail:zhouming@bucea.edu.cn

Simulation of Adaptive Control Strategy for Electrical Discharge Machining Process

YANG Qing-zhao (杨青照), ZHOU Ming* (周明), TIAN Hong-sen (田洪森),ZHANG Hui-sheng (张惠生), XU Dong-hui(许东晖)

(School of Mechanical-Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

Published:2015-08-05
Contact: ZHOU Ming (周明) E-mail:zhouming@bucea.edu.cn

摘要/Abstract

摘要： Electrode down-time is an important factor affecting the efficiency and stability of electrical discharge machining (EDM) process. In the research, a way of simulating the regulation of the electrode down-time in an EDM adaptive control system has been studied. All the simulations are performed on Matlab. The simulation results demonstrate that this adaptive controller by regulating electrode down-time can direct the gap state to follow the specified reference gap state with or without disturbances. Finally, the adaptive control scheme is also validated by experiments. The significance of the simulation of an EDM adaptive control system lies on the fact that it provides a convenient way to guide the actual production and provides a new study method for the research of EDM control strategy with no regard of experimental conditions.

关键词: electrical discharge machining (EDM), adaptive control, electrode down-time, Matlab simulation

Abstract: Electrode down-time is an important factor affecting the efficiency and stability of electrical discharge machining (EDM) process. In the research, a way of simulating the regulation of the electrode down-time in an EDM adaptive control system has been studied. All the simulations are performed on Matlab. The simulation results demonstrate that this adaptive controller by regulating electrode down-time can direct the gap state to follow the specified reference gap state with or without disturbances. Finally, the adaptive control scheme is also validated by experiments. The significance of the simulation of an EDM adaptive control system lies on the fact that it provides a convenient way to guide the actual production and provides a new study method for the research of EDM control strategy with no regard of experimental conditions.

Key words: electrical discharge machining (EDM), adaptive control, electrode down-time, Matlab simulation

中图分类号:

TG 661

YANG Qing-zhao (杨青照), ZHOU Ming* (周明), TIAN Hong-sen (田洪森),ZHANG Hui-sheng (张惠生). Simulation of Adaptive Control Strategy for Electrical Discharge Machining Process[J]. 上海交通大学学报（英文版）, 2015, 20(4): 408-414.

YANG Qing-zhao (杨青照), ZHOU Ming* (周明), TIAN Hong-sen (田洪森),ZHANG Hui-sheng (张惠生), XU Dong-hui(许东晖). Simulation of Adaptive Control Strategy for Electrical Discharge Machining Process[J]. Journal of shanghai Jiaotong University (Science), 2015, 20(4): 408-414.

参考文献 8

[1]	Wang Jin, Han Fu-zhu, Zhao Fu-ling, et al. Research on influence rules of electrode machining time on EDM efficience [J]. Journal of Dalian University of Technology,2012, 52(5): 652-656 (in Chinese).
[2]	Morita A, Imai Y, Noda A. Fuzzy controller for EDM [C]//Proceeding of 9th International Symposium for Electromachining. Nagoya: [s. n.], 1989: 236-239.
[3]	Kobayashi K. The present and future developments of EDM and ECM [C]//Proceeding of 11th International Symposium for Electromachining. Lausanne: [s.n.], 1995: 29-47.
[4]	Zhao W S, Masuzawa T. Adaptive control of EDMjump with self-tuning approach [J]. Bulletin of the Japan Society of Precision Engineering, 1990, 24(1):45-50.
[5]	Zhou M, Han F Z. Adaptive control for EDM process with a self-tuning regulator [J]. International Journal of Machine Tools and Manufacture, 2009, 49(6): 462-469.
[6]	Zhu Xuan, Han Fu-zhu, Zhou Ming, et al. Hybrid control of discharging state during EDM [J]. Electromachining & Mould, 2010(1): 25-28 (in Chinese).
[7]	Zhou M, Han F Z, Wang Y X, et al. Assessment of the dynamical properties in EDM process-detecting deterministic nonlinearity of EDM process [J]. International Journal of Advanced Manufacturing Technology,2009, 44(1-2): 91-99.
[8]	Zhou M, Han F Z, Soichiro I. A time-varied predictive model for EDM process [J]. International Journal of Machine Tools and Manufacture, 2008, 48(15):1668-1677.

Simulation of Adaptive Control Strategy for Electrical Discharge Machining Process

Simulation of Adaptive Control Strategy for Electrical Discharge Machining Process

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