TY - JOUR
T1 - Hybrid control for machine tool table applying sensorless cutting force monitoring
AU - Takei, Masaya
AU - Kurihara, Daisuke
AU - Katsura, Seiichiro
AU - Kakinuma, Yasuhiro
PY - 2011/7
Y1 - 2011/7
N2 - Accurate monitoring and adaptive control to maintain optimum machining conditions are required for intelligent machine tools. Methods using additional sensors have been studied to add these functions to machine tools; however, incorporating additional sensors leads to higher production costs and reductions in mechanical stiffness. In the present study, a sensorless method of monitoring cutting force that utilizes the current signal and the second-order derivative of position is developed. Moreover, applying sensorless cutting force monitoring, a hybrid control method is proposed in which the sensorless monitoring is used to simultaneously control both the position trajectory and cutting force in the feed direction.
AB - Accurate monitoring and adaptive control to maintain optimum machining conditions are required for intelligent machine tools. Methods using additional sensors have been studied to add these functions to machine tools; however, incorporating additional sensors leads to higher production costs and reductions in mechanical stiffness. In the present study, a sensorless method of monitoring cutting force that utilizes the current signal and the second-order derivative of position is developed. Moreover, applying sensorless cutting force monitoring, a hybrid control method is proposed in which the sensorless monitoring is used to simultaneously control both the position trajectory and cutting force in the feed direction.
KW - Cutting force
KW - Cutting force control
KW - Disturbance observer
KW - Monitoring
UR - http://www.scopus.com/inward/record.url?scp=84856189439&partnerID=8YFLogxK
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U2 - 10.20965/ijat.2011.p0587
DO - 10.20965/ijat.2011.p0587
M3 - Article
AN - SCOPUS:84856189439
SN - 1881-7629
VL - 5
SP - 587
EP - 593
JO - International Journal of Automation Technology
JF - International Journal of Automation Technology
IS - 4
ER -