Hybrid control for machine tool table applying sensorless cutting force monitoring

Masaya Takei, Daisuke Kurihara, Seiichiro Katsura, Yasuhiro Kakinuma

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)587-593
Number of pages7
JournalInternational Journal of Automation Technology
Volume5
Issue number4
Publication statusPublished - 2011 Jul

Fingerprint

Machine tools
Monitoring
Sensors
Machining
Trajectories
Stiffness
Derivatives
Costs

Keywords

  • Cutting force
  • Cutting force control
  • Disturbance observer
  • Monitoring

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Hybrid control for machine tool table applying sensorless cutting force monitoring. / Takei, Masaya; Kurihara, Daisuke; Katsura, Seiichiro; Kakinuma, Yasuhiro.

In: International Journal of Automation Technology, Vol. 5, No. 4, 07.2011, p. 587-593.

Research output: Contribution to journalArticle

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