Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-26T21:19:32.278Z Has data issue: false hasContentIssue false
  • English
  • Français

Fault-Tolerant Function Development for Mechatronic Systems

Published online by Cambridge University Press:  26 May 2022

R. Stetter  and
U. Pulm
R. Stetter*
Affiliation:
University of Applied Sciences Ravensburg-Weingarten, Germany
U. Pulm
Affiliation:
University of Applied Sciences Hamburg, Germany
*
[email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The main focus of this paper is the exploration of fault accommodation possibilities in the context of function development. Faults occur in complex technical systems and may lead, if no accommodation entities or processes are present, to catastrophic failure. Several entities and processes exist and are applied, but mainly on the concrete levels. Faults very often concern more than one physical domain and accommodation possibilities are present in many physical or even non-physical domains. This paper explores this specific challenge and proposes an initial collection of countermeasures.

Keywords

mechatronicsfunctional modellingmodel-based systems engineering (MBSE)fault-tolerant designfunction development
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1975 - 1984
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

References

Banciu, F.; Drăghici, G.; Pămîntaş, E. and Grozav, I.: Identify Functions, Failure Modes, Causes and Effects Using the Triz Functional Modeling. Proceedings of the International Conference on Manufacturing Science and Education, (MSE2011), Sibiu, 2011 .Google Scholar
Blanke, M.; Kinnaert, M.; Lunze, J.; Staroswiecki, M. Diagnosis and Fault-Tolerant Control; Springer: New York, NY, USA, 2016.Google Scholar
Corrado, A.; Polini, W.; Moroni, G.; Petrò, S.: 3D Tolerance Analysis with Manufacturing Signature and Operating Conditions, Procedia CIRP, Volume 43, 2016, pp. 130–135, ISSN 2212-8271, 10.1016/j.procir.2016.02.097.Google Scholar
Darpel, S.; Beckman, S.; Ferlin, T.; Havenhill, M. Parrot, E.; Harcula, K.: Method for tracking and communicating aggregate risk through the use of model-based systems engineering (MBSE) tools. Journal of Space Safety Engineering 7 (2020), pp. 11–17, 10.1016/j.jsse.2020.01.001.CrossRefGoogle Scholar
Eisenbart, B., Gericke, K., Blessing, L. and McAloone, T (2016) “A DSM-based Framework for Integrated Function Modelling: Concept, Application and Evaluation”, Research in Engineering Design, 2016, Vol. 28 No. 1, pp. 25–51. 10.1007/s00163-016-0228-1.Google Scholar
Goetz, S.; Roth, M., Schleich, B.: Early Robust Design—Its Effect on Parameter and Tolerance Optimization. Applied Sciences 2021, 11, 9407, 10.3390/app11209407.CrossRefGoogle Scholar
Gräßler, I.; Hentze, J.: The new V-Model of VDI 2206 and its validation. at – Automatisierungstechnik 2020; 68(5): pp. 312–324, 10.1515/auto-2020-0015.Google Scholar
Gräßler, I.; Ole, C.; Scholle, P.: Method for Systematic Assessment of Requirement Change Risk in Industrial Practice. Applied Sciences, 2020, 10, 8697; https://dx.doi.org/10.3390/app10238697.Google Scholar
Holder, K., Zech, A., Ramsaier, M., Stetter, R., Niedermeier, H.-P., Rudolph, S. and Till, M. (2017) “Model-Based Requirements Management in Gear Systems Design based on Graph-Based Design Languages”. Appl. Sci. 2017, 7, 1112, 10.3390/app7111112.Google Scholar
Kemmler, S.; Fuchs, A.; Leopold, T.; Bertsche, B.: Comparison of Taguchi Method and Robust Design Optimization (RDO) - by application of a functional adaptive simulation model for the robust product-optimization of an adjuster unit. In: Proceedings of the 12th Weimar Optimization and Stochastic Days, 2015, 10.18419/opus-8435.Google Scholar
Laing, C.; David, P.; Blanco, E.; Dorel, X.: Questioning integration of verification in model-based systems engineering: an industrial perspective. Computers in Industry 114 (2020) 103163, 10.1016/j.compind.2019.103163.Google Scholar
Li, H.; Pan, J.; Zhang, X.; You, J.: Integral-based event-triggered fault estimation and impulsive fault-tolerant control for networked control systems applied to underwater vehicles. Neurocomputing 442 (2021) 36–47, 10.1016/j.neucom.2021.02.035.CrossRefGoogle Scholar
Lu, J.; Chen, D.; Wang, G.; Kiritsis, D.; Törngren, M.: Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, accepted for inclusion.Google Scholar
Pfeifer, S.; Seidenberg, T.; Jürgenhake, C.; Anacker, H.; Dumitrescua, R.: Towards a modular product architecture for electric ferries using Model-Based Systems Engineering. Procedia Manufacturing 52 (2020) pp. 228–233, 10.1016/j.promfg.2020.11.039.CrossRefGoogle Scholar
Pottebaum, J.; Gräßler, I.: Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit. Konstruktion 72 (11-12) 2020, 76–83.Google Scholar
Pulm, U.; Stetter, R.: Systemic mechatronic function development. In: ICED 2021, Proceedings of the Design Society, 1, pp. 2931–2940. https://dx.doi.org/10.1017/pds.2021.554.Google Scholar
Rudolph, S. Übertragung von Ähnlichkeitsbegriffen. Habilitationsschrift, Fakultät Luft- und Raumfahrttechnik und Geodäsie. Habilitation Thesis, Universität Stuttgart, Stuttgart, Germany, 2002.Google Scholar
Sader, M.; Chen, Z.; Liu, Z.; Deng, C.: Distributed robust fault-tolerant consensus control for a class of nonlinear multi-agent systems with intermittent communications. Applied Mathematics and Computation 403 (2021) 126166, 10.1016/j.amc.2021.126166.Google Scholar
Schuster, J. and Pahn, F. (2018) Entwicklung und Bau zweier konzeptionell unterschiedlicher Segways. Bachelor-Thesis Ravensburg-Weingarten University (RWU).Google Scholar
Shaked, A.; Reich, Y.: Using Domain-Specific Models to Facilitate Model-Based Systems-Engineering: Development Process Design Modeling with OPM and PROVE. Applied Sciences 2021,11, 1532. 10.3390/app1104153Google Scholar
Stetter, R.: Fault-Tolerant Design and Control of Automated Vehicles and Processes. Insights for the Synthesis of Intelligent Systems. Springer, 2020, 10.1007/978-3-030-12846-3.Google Scholar
Stetter, R.: Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines. Energies (2020), Vol. 13, No. 8, 2087, 10.3390/en13082087.CrossRefGoogle Scholar
Stetter, R.; Göser, R.; Gresser, S.; Till, M.; Witczak, M.: Fault-tolerant design for increasing the reliability of an autonomous driving gear shifting system. Maintenance and Reliability, Vol. 22, No. 3, 2020, pp. 482 – 492. 10.17531/ein2020.3.11.CrossRefGoogle Scholar
VDI/VDE 2206 – Entwurf: Entwicklung cyber-physischer mechatronischer Systeme (CPMS). Beuth: 2020.Google Scholar
Walden, D. D.; Roedler, G. J.; Forsberg, K.; Hamelin, R. D.; Shortell, T. M.: Systems engineering handbook: A guide for system life cycle processes and activities, 4th ed. Wiley, 2015.Google Scholar
Wrobel, M.; Meurer, T.: Optimal Sensor Placement for Temperature Control in a Deep Drawing Tool, IFAC-PapersOnLine, Volume 54, Issue 11, 2021, pp. 91–96, 10.1016/j.ifacol.2021.10.056.Google Scholar
Yang, X.; Li, T.; Wu, Y.; Wang, Y.; Long, Y.: Fault estimation and fault tolerant control for discrete-time nonlinear systems with perturbation by a mixed design scheme. Journal of the Franklin Institute 358 (2021), pp. 1860 - 1887, 10.1016/j.jfranklin.2020.12.024.Google Scholar
Zhu, B, Wang, Y, Zhang, H.; Xie, X.: Distributed finite-time fault estimation and fault-tolerant control for cyber-physical systems with matched uncertainties. Applied Mathematics and Computation 403 (2021) 126195, 10.1016/j.amc.2021.126195.Google Scholar