GAMHE

Group of advanced Automation of Machines, Highly complex processes and Environments

 

The pilot line of GAMHE 5.0 Lab at CAR (CSIC-UPM) and some results are presented in a  new publication entitled "Cloud-based Industrial Cyber-Physical System for Data-driven Reasoning. A Review and Use Case on an Industry 4.0 Pilot Line,"  published in IEEE Transactions on Industrial Informatics, one of the most important journals in the world of engineering.

 SUMMARY:

Nowadays, reconfiguration and adaptation by means of optimal re-parametrization in industrial cyber-physical systems (ICPS) is one of the bottlenecks for the digital transformation of the manufacturing industry. This work proposes a cloud-to-edges-based ICPS equipped with machine learning techniques. The proposed reasoning module includes a learning procedure based on two reinforcement learning techniques, running in parallel, for updating both the data-conditioning and processing strategy and the prediction model. The presented solution distributes computational resources and analytic engines in multiple layers and independent modules increasing the smartness and the autonomy for monitoring and control the behavior at shop floor level. The suitability of the proposed solution, evaluated in a pilot line, is endorsed by fast time response (i.e., 0.01s at the edge level) and the appropriate setting of optimal operational parameters for guaranteeing the desired quality surface roughness during macro and micro milling operations.

FURTHER DETAILS ON: A. Villalonga, G. Beruvides, F. Castaño and R. E. Haber, "Cloud-Based Industrial Cyber–Physical System for Data-Driven Reasoning: A Review and Use Case on an Industry 4.0 Pilot Line," IEEE Transactions on Industrial Informatics, vol. 16, no. 9, pp. 5975-5984, Sept. 2020. doi: 10.1109/TII.2020.2971057.

CONFERENCE: Model free Control for Machine Tools

Authors: Jorge Villagra, Rodolfo Haber, Centre for Automation and Robotics (UPM-CSIC)
Cédric Join, Universite de Lorraine, France, Michel Fliess, École Polytechnique, France


Conference: 21st IFAC World Congress, Germany, July 11-17, 2020

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CONFERENCE: Local Decision Making based on Distributed Digital Twin Framework

Authors: Alberto Villalonga, Rodolfo Haber, Fernando Castaño,Centre for Automation and Robotics (UPM-CSIC)
Luca Fumagalli, Elisa Negri and Marco Macchi, Politecnico di Milano, Milano, Italy


Conference: 21st IFAC World Congress, Germany, July 11-17, 2020

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CONFERENCE: Digital twin-based Optimization on the basis of Grey Wolf Method. A Case Study on Motion Control Systems

Authors: Rodolfo Haber, Fernando Castaño,Centre for Automation and Robotics (UPM-CSIC)
Stanisław Strzelczak, University of Technology, Warsaw, Poland
Luca Fumagalli, Politecnico di Milano, Milano, Italy
Zoran Miljković, Milica Petrović ,University of Belgrade


Conference: 3rd. IEEE International Conference on Industrial Cyber-Physical Systems, 10-12 June 2020, Tampere, Finland

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