<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper deals with the modeling and fault-tolerant control of a real battery assembly system which is under implementation at the RAFI GmbH company (one of the leading electronic manufacturing service providers in Germany). To model and control the battery assembly system, a unified max-plus algebra and model predictive control framework is introduced. Subsequently, the control strategy is enhanced with fault-tolerance features that increase the overall performance of the production system being considered. In particular, it enables tolerating (up to some degree) mobile robot, processing and transportation faults. The paper discusses also robustness issues, which are inevitable in real production systems. As a result, a novel robust predictive fault-tolerant strategy is developed that is applied to the battery assembly system. The last part of the paper shows illustrative examples, which clearly exhibit the performance of the proposed approach.</p></abstract>

The paper deals with the modeling and fault-tolerant control of a real battery assembly system which is under implementation at the RAFI GmbH company (one of the leading electronic manufacturing service providers in Germany). To model and control the battery assembly system, a unified max-plus algebra and model predictive control framework is introduced. Subsequently, the control strategy is enhanced with fault-tolerance features that increase the overall performance of the production system being considered. In particular, it enables tolerating (up to some degree) mobile robot, processing and transportation faults. The paper discusses also robustness issues, which are inevitable in real production systems. As a result, a novel robust predictive fault-tolerant strategy is developed that is applied to the battery assembly system. The last part of the paper shows illustrative examples, which clearly exhibit the performance of the proposed approach.

Towards Robust Predictive Fault–Tolerant Control for a Battery Assembly System

Department of Research & Development, RAFI GmbH Co. KG, Ravensburger Straße, 128–134, D-88276 Berg/Ravensburg, Germany

Institute of Control and Computation Engineering, University of Zielona Góra, ul. prof. Z. Szafrana 2, 65-516 Zielona Góra, Poland

Faculty of Mechanical Engineering, University of Applied Sciences Ravensburg–Weingarten, Building D., Doggenriedstraße, Weingarten, Germany

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The paper deals with the modeling and fault-tolerant control of a real battery assembly system which is under implementation at the RAFI GmbH company (one of...

Towards Robust Predictive Fault–Tolerant Control for a Battery Assembly System

Published Online: Dec 30, 2015

Page range: 849 - 862

Received: Dec 22, 2014

DOI: https://doi.org/10.1515/amcs-2015-0061

Keywords
max-plus algebra, interval analysis, battery assembly, model predictive control, fault-tolerant control

© 2015 Lothar Seybold et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Towards Robust Predictive Fault–Tolerant Control for a Battery Assembly System

Published Online: Dec 30, 2015

Page range: 849 - 862

Received: Dec 22, 2014

DOI: https://doi.org/10.1515/amcs-2015-0061

Keywordsmax-plus algebra, interval analysis, battery assembly, model predictive control, fault-tolerant control

© 2015 Lothar Seybold et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
max-plus algebra, interval analysis, battery assembly, model predictive control, fault-tolerant control