HUANG Yining

PhD graduated
Team : MoVe
Departure date : 02/08/2021

Supervision : Jacques MALENFANT

Co-supervision : DHOUIB Saadia

Digital twin for the dynamic orchestration of autonomous and embedded systems

As control and information technology advance, modern manufacturing systems are evolving towards increased automation and intelligence. The concept of the digital twin is becoming increasingly prominent across various sectors, offering a clear method for managing complex systems via digital counterparts. However, this emerging field presents several critical challenges and research questions, particularly in applying digital twin systems to industry. Beyond the established challenges in supervising complex cyber-physical systems, there is a pressing need for a comprehensive, interoperable representation of products, production processes, and plant resources that can integrate seamlessly with diverse equipment. This thesis investigates three primary issues: interoperability, adaptability, and robustness of manufacturing systems in the context of Industry 4.0. A capability-based self-adaptive manufacturing architecture (CBSAM) has been proposed in this thesis, utilizing software engineering approaches like capability-based engineering, Model-Driven Engineering (MDE), and the MAPE-K (Monitor, Analyze, Plan, Execute, and Knowledge) framework to enhance the adaptability and efficiency of production systems.
The proposed architecture incorporates a feedback loop to enable the self-adaptivity of the digital twin system, which ensures the continuity of the production process on its performance and adapts to changes in the physical system. This research extends beyond conceptual methods to develop practical software tools, integrating Digital Twin (DT) technology into an existing Model-Based Systems Engineering (MBSE) ecosystem to complete the CBSAM architecture. An academic testbed developed in the laboratory showcases the CBSAM methodology’s implementation in detail. Finally, this thesis concludes with a generalization to the architecture and the completion of the implementation as a perspective for the future.

Defence : 02/08/2024

Jury members :

Jean-Michel BRUEL, IRIT, Professor [Rapporteur]
Marianne HUCHARD, LIRMM, Professor [Rapporteur]
Jean-Michel BRUEL, IRIT, Professor
Marija JANKOVIC, Centrale Supélec, Professor
Emmanuel CHAILLOUX, LIP6, Professor
Saadia DHOUIB, CEA List, Research Engineer
Jacques MALENFANT, LIP6, Professor

Departure date : 02/08/2021
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