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.
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
.
DOI: 10.1007/s12204-014-1577-4
[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.
