TY - GEN
T1 - Fuzzy predictive control in Czochralski crystal growth with power input as the unique manipulation
AU - Fu, Yongling
AU - Zhang, Kai
AU - Qi, Xiaoye
PY - 2009
Y1 - 2009
N2 - This paper presents a study to Czochralski crystal growth process based on Hurle's model linearized at the equilibrium points. In this study, we do the attempt to get single crystal with constant diameter using the power input as the unique manipulation by removing pull rate manipulation which was suspected to be contributing to structure defects in the crystal from the system. Compared with the traditional PID, fuzzy predictive control algorithm is more effective to handle the Czochralski growth process which enhances the tracking capability and system robustness. Simulation results indicate that we can get the constant diameter of crystal by manipulating the power input only and fuzzy predictive control is more effective to the time-lagging and inertia system.
AB - This paper presents a study to Czochralski crystal growth process based on Hurle's model linearized at the equilibrium points. In this study, we do the attempt to get single crystal with constant diameter using the power input as the unique manipulation by removing pull rate manipulation which was suspected to be contributing to structure defects in the crystal from the system. Compared with the traditional PID, fuzzy predictive control algorithm is more effective to handle the Czochralski growth process which enhances the tracking capability and system robustness. Simulation results indicate that we can get the constant diameter of crystal by manipulating the power input only and fuzzy predictive control is more effective to the time-lagging and inertia system.
UR - https://www.scopus.com/pages/publications/76349084279
U2 - 10.1109/FSKD.2009.314
DO - 10.1109/FSKD.2009.314
M3 - 会议稿件
AN - SCOPUS:76349084279
SN - 9780769537351
T3 - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
SP - 566
EP - 571
BT - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
T2 - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
Y2 - 14 August 2009 through 16 August 2009
ER -