Constraint-combined force/position hybrid control method for continuous shape-grinding

Guanghua Chen, Mamoru Minami, Geng Wang, Akira Yanou, Mingcong Deng

Research output: Contribution to conferencePaper

Abstract

Based on the analysis of the interaction between a manipulator's hand and a working object, a model representing the constrained dynamics of the robot is first discussed. The constraint forces are expressed by an algebraic function of states, input generalized forces, and constraint condition, and then direct position / force controller without force sensor is proposed based on the algebraic relation. To give the grinding system the ability to adapt to any object shape being changed by the grinding, we added estimating function of the constraint condition in real time for the adaptive position / force control, which is indispensable for our method instead of not using force sensor. Evaluations through continuous shape-grinding experiment by fitting the changing constraint surface with spline functions, indicates that reliable position / force control and shape-grinding work can be achieved by this proposed controller.

Original languageEnglish
Pages942-949
Number of pages8
Publication statusPublished - Dec 1 2010
EventJoint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 - Okayama, Japan
Duration: Dec 8 2010Dec 12 2010

Other

OtherJoint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010
CountryJapan
CityOkayama
Period12/8/1012/12/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Chen, G., Minami, M., Wang, G., Yanou, A., & Deng, M. (2010). Constraint-combined force/position hybrid control method for continuous shape-grinding. 942-949. Paper presented at Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010, Okayama, Japan.