TY - JOUR
T1 - A time-delay-based sliding mode controlling method for reducing contour errors of machine tools
AU - Dai, Jia
AU - Wan, Min
AU - Qin, Xue Bin
AU - Zhang, Wei Hong
N1 - Publisher Copyright:
© 2023 The Society of Manufacturing Engineers
PY - 2023/11/24
Y1 - 2023/11/24
N2 - This article presents a time delay-based sliding mode controller to reduce contour errors for machine tools subject to friction and model error. Through decoupling the actual dynamic model of machine tools into a nominal component and an error component, a proportional differential (PD) controller, which is mathematically deduced from the sliding mode controller (SMC), is designed for the nominal model. A time delay estimation (TDE) strategy that considers the friction effect is designed to compensate for the error component. Therefore, tracking accuracy is guaranteed. Based on TDE results, a Kalman state prediction method that considers model error is developed to make a high state prediction accuracy even if the model error is large. By adding the predicted contour errors of the next sampling time into the command trajectory, the pre-compensation of contour errors is realized. Moreover, a new contour error estimation (CEE) method that can improve computing efficiency is proposed. Experiments and comparisons are conducted to verify the effectiveness of proposed method.
AB - This article presents a time delay-based sliding mode controller to reduce contour errors for machine tools subject to friction and model error. Through decoupling the actual dynamic model of machine tools into a nominal component and an error component, a proportional differential (PD) controller, which is mathematically deduced from the sliding mode controller (SMC), is designed for the nominal model. A time delay estimation (TDE) strategy that considers the friction effect is designed to compensate for the error component. Therefore, tracking accuracy is guaranteed. Based on TDE results, a Kalman state prediction method that considers model error is developed to make a high state prediction accuracy even if the model error is large. By adding the predicted contour errors of the next sampling time into the command trajectory, the pre-compensation of contour errors is realized. Moreover, a new contour error estimation (CEE) method that can improve computing efficiency is proposed. Experiments and comparisons are conducted to verify the effectiveness of proposed method.
KW - Contour error control
KW - Contour error estimation
KW - Kalman filter
KW - Sliding mode control
KW - Time delay estimation
UR - http://www.scopus.com/inward/record.url?scp=85173578472&partnerID=8YFLogxK
U2 - 10.1016/j.jmapro.2023.10.005
DO - 10.1016/j.jmapro.2023.10.005
M3 - 文章
AN - SCOPUS:85173578472
SN - 1526-6125
VL - 106
SP - 407
EP - 421
JO - Journal of Manufacturing Processes
JF - Journal of Manufacturing Processes
ER -