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Multi-agent framework based on smart sensors/actuators for machine tools control and monitoring
Affiliation:1. “Epidermis Differentiation and Rheumatoid Autoimmunity” Laboratory, UMR CNRS 5165, INSERM U1056, Toulouse III University, Toulouse, France;2. Laboratory of Cell Biology and Cytology, Toulouse University Hospital, Toulouse, France;3. Unit of Rheumatology, School of Medicine, University of Yaounde I, Cameroon;4. Arthritis Research UK Center for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, UK;5. Division of Rheumatology, University Hospitals of Geneva, Geneva, Switzerland;6. Department of Genetics and Laboratory Medicine, Geneva, Switzerland;7. Department of Pathology & Immunology, University of Geneva, School of Medicine, Geneva, Switzerland
Abstract:Throughout the history, the evolutions of the requirements for manufacturing equipments have depended on the changes in the customers’ demands. Among the present trends in the requirements for new manufacturing equipments, there are more flexible and more reactive machines. In order to satisfy those requirements, this paper proposes a control and monitoring framework for machine tools based on smart sensor, on smart actuator and on agent concepts. The proposed control and monitoring framework achieves machine monitoring, process monitoring and adapting functions that are not usually provided by machine tool control systems. The proposed control and monitoring framework has been evaluated by the means of a simulated operative part of a machine tool. The communication between the agents is achieved thanks to an Ethernet network and CORBA protocol. The experiments (with and without cooperation between agents for accommodating) give encouraging results for implementing the proposed control framework to operational machines. Also, the cooperation between the agents of control and monitoring framework contributes to the improvement of reactivity by adapting cutting parameters to the machine and process states and to increase productivity.
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