Abstract
The paper deals with modeling and fault-tolerant control of a real battery assembly system, which is under implementation at RAFI GmbH Company. For that purpose a unified max-plus algebra and model predictive control framework is introduced. Subsequently, the control strategy is enhanced with the fault-tolerance features that enhance the overall performance of the production system. As a result, a novel predictive fault-tolerant strategy is developed that is applied to the battery assembly system. Finally, the last part of the paper shows an illustrative example, which clearly exhibits the performance of the proposed approach.
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The work was supported by the National Science Center of Poland under grant: 2014-2017.
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Majdzik, P., Akielaszek-Witczak, A., Seybold, L. (2016). Design of a Predictive Fault-Tolerant Control for the Battery Assembly Station. In: Kowalczuk, Z. (eds) Advanced and Intelligent Computations in Diagnosis and Control. Advances in Intelligent Systems and Computing, vol 386. Springer, Cham. https://doi.org/10.1007/978-3-319-23180-8_16
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DOI: https://doi.org/10.1007/978-3-319-23180-8_16
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