Abstract
Supervisory control theory provides means to synthesize supervisors from a model of the uncontrolled plant and a model of the control requirements. Currently, control engineers lack experience with using automata for this purpose, which results in low adaptation of supervisory control theory in practice. This paper presents three modeling guidelines based on experience of modeling and synthesizing supervisors of large-scale infrastructural systems. Both guidelines see the model of the plant as a collection of component models. The first guideline expresses that independent components should be modeled as asynchronous models. The second guideline expresses that physical relationships between component models can be easily expressed with extended finite automata. The third guideline expresses that the input-output perspective of the control hardware should be used as the abstraction level. The importance of the guidelines is demonstrated with examples from industrial cases.
Supported by Rijkswaterstaat, part of the Dutch Ministry of Infrastructure and Water Management.
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References
Balemi, S.: Control of discrete event systems: theory and application. Ph.D. thesis, Swiss Federal Institue of Technology Zurich, Zurich (1992)
Cassandras, C.G., Lafortune, S.: Introduction to Discrete Event Systems, 2nd edn. Springer, Boston (2008). https://doi.org/10.1007/978-0-387-68612-7
Fabian, M., Hellgren, A.: PLC-based implementation of supervisory control for discrete event systems. In: 37th IEEE Conference on Decision and Control, vol. 3, pp. 3305–3310 (1998). https://doi.org/10.1109/CDC.1998.758209
Fabian, M., Fei, Z., Miremadi, S., Lennartson, B., Åkesson, K.: Supervisory control of manufacturing systems using extended finite automata. In: Campos, J., Seatzo, C., Xie, X. (eds.) Formal Methods in Manufacturing, pp. 295–314. Taylor & Francis Inc., Industrial Information Technology (2014)
Feng, L., Wonham, W.M.: Nonblocking coordination of discrete-event systems by control-flow nets. In: 46th IEEE Conference on Decision and Control, pp. 3375–3380. https://doi.org/10.1109/CDC.2007.4434160
Flordal, H., Malik, R.: Compositional verification in supervisory control. SIAM J. Control Optim. 48(3), 1914–1938. https://doi.org/10.1137/070695526
Göbe, F., Ney, O., Kowalewski, S.: Reusability and modularity of safety specifications for supervisory control. In: 21st IEEE International Conference on Emerging Technologies and Factory Automation, pp. 1–8 (2016). https://doi.org/10.1109/ETFA.2016.7733498
Gonzalez, A.G.C., Alves, M.V.S., Viana, G.S., Carvalho, L.K., Basilio, J.C.: Supervisory control-based navigation architecture: a new framework for autonomous robots in Industry 4.0 environments. IEEE Trans. Ind. Inform. 14(4), 1732–1743 (2018). https://doi.org/10.1109/TII.2017.2788079
Goorden, M.A., Fabian, M.: No synthesis needed, we are alright already. In: 15th IEEE International Conference on Automation Science and Engineering, pp. 195–202. https://doi.org/10.1109/COASE.2019.8843071
Goorden, M.A., van de Mortel-Fronczak, J.M., Etman, L.F.P., Rooda, J.E.: DSM-based analysis for the recognition of modeling errors in supervisory controller design. In: 21st International Dependency and Structure Modeling Conference, pp. 127–135 (2019). https://doi.org/10.35199/dsm2019.7
Goorden, M.A., van de Mortel-Fronczak, J.M., Reniers, M.A., Fokkink, W.J., Rooda, J.E.: The impact of requirement splitting on the efficiency of supervisory control synthesis. In: Larsen, K.G., Willemse, T. (eds.) FMICS 2019. LNCS, vol. 11687, pp. 76–92. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-27008-7_5
Goorden, M.A., van de Mortel-Fronczak, J.M., Reniers, M.A., Fokkink, W.J., Rooda, J.E.: Structuring multilevel discrete-event systems with dependency structure matrices. IEEE Trans. Autom. Control (2019). https://doi.org/10.1109/TAC.2019.292811. Early access
Gössler, G., Sifakis, J.: Composition for component-based modeling. Sci. Comput. Program. 55(1), 161–183. https://doi.org/10.1016/j.scico.2004.05.014
Grigorov, L., Butler, B.E., Cury, J.E.R., Rudie, K.: Conceptual design of discrete-event systems using templates. Discrete Event Dyn. Syst. 21(2), 257–303 (2011). https://doi.org/10.1007/s10626-010-0089-0
Komenda, J., Masopust, T., van Schuppen, J.H.: Control of an engineering-structured multilevel discrete-event system. In: 13th International Workshop on Discrete Event Systems, pp. 103–108 (2016)
Ma, C., Wonham, W.: Nonblocking Supervisory Control of State Tree Structures. Lecture Notes in Control and Information Sciences, vol. 317. Springer, Heidelberg (2005). https://doi.org/10.1007/b105592
Markovski, J., Jacobs, K.G.M., van Beek, D.A., Somers, L.J., Rooda, J.E.: Coordination of resources using generalized state-based requirements. In: 10th International Workshop on Discrete Event Systems, pp. 300–305 (2010)
Mohajerani, S., Malik, R., Fabian, M.: A framework for compositional nonblocking verification of extended finite-state machines. Discrete Event Dyn. Syst. 26(1), 33–84 (2016). https://doi.org/10.1007/s10626-015-0217-y
Moormann, L., Maessen, P., Goorden, M.A., van de Mortel-Fronczak, J.M., Rooda, J.E.: Design of a tunnel supervisory controller using synthesis-based engineering (2020). Accepted for ITA-AITES World Tunnel Congress
Ouedraogo, L., Kumar, R., Malik, R., Åkesson, K.: Nonblocking and safe control of discrete-event systems modeled as extended finite automata. IEEE Trans. Autom. Sci. Eng. 8(3), 560–569 (2011). https://doi.org/10.1109/TASE.2011.2124457
Pena, P.N., Cury, J.E.R., Lafortune, S.: Verification of nonconflict of supervisors using abstractions. IEEE Trans. Autom. Control 54(12), 2803–2815. https://doi.org/10.1109/TAC.2009.2031730
de Queiroz, M.H., Cury, J.E.R.: Modular supervisory control of large scale discrete event systems. In: Boel, R., Stremersch, G. (eds.) Discrete Event Systems. SECS, vol. 569, pp. 103–110. Springer, Boston (2000). https://doi.org/10.1007/978-1-4615-4493-7_10
Ramadge, P.J.G., Wonham, W.M.: Supervisory control of a class of discrete event processes. SIAM J. Control Optim. 25(1), 206–230 (1987)
Ramadge, P.J.G., Wonham, W.M.: The control of discrete event systems. Proc. IEEE 77(1), 81–98 (1989)
Ramos, A.L., Ferreira, J.V., Barceló, J.: Model-based systems engineering: an emerging approach for modern systems. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42(1), 101–111 (2012). https://doi.org/10.1109/TSMCC.2011.2106495
Reijnen, F.F.H., Erens, T.R., van de Mortel-Fronczak, J.M., Rooda, J.E.: Supervisory control synthesis for safety PLCs (2020). Submitted to International Workshop on Discrete Event Systems
Reijnen, F.F.H., Goorden, M.A., van de Mortel-Fronczak, J.M., Reniers, M.A., Rooda, J.E.: Application of dependency structure matrices and multilevel synthesis to a production line. In: 2nd IEEE Conference on Control Technology and Applications, pp. 458–464 (2018). https://doi.org/10.1109/CCTA.2018.8511449
Reijnen, F.F.H., Goorden, M.A., van de Mortel-Fronczak, J.M., Rooda, J.E.: Supervisory control synthesis for a waterway lock. In: 1st IEEE Conference on Control Technology and Applications, pp. 1562–1568 (2017). https://doi.org/10.1109/CCTA.2017.8062679
Reijnen, F.F.H., Goorden, M.A., van de Mortel-Fronczak, J.M., Rooda, J.E.: Supervisory control synthesis for a lock-bridge combination (2019). Submitted to Discrete Event Dynamic Systems
van der Sanden, L.J.: Performance analysis and optimization of supervisory controllers. Ph.D. thesis, Eindhoven University of Technology (2018)
van der Sanden, L.J., et al.: Modular model-based supervisory controller design for wafer logistics in lithography machines. In: 18th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (2015)
Skoldstam, M., Åkesson, K., Fabian, M.: Modeling of discrete event systems using finite automata with variables. In: 46th IEEE Conference on Decision and Control, pp. 3387–3392 (2007). https://doi.org/10.1109/CDC.2007.4434894
Su, R., van Schuppen, J.H., Rooda, J.E.: Synthesize nonblocking distributed supervisors with coordinators. In: 17th Mediterranean Conference on Control and Automation, pp. 1108–1113 (2009). https://doi.org/10.1109/MED.2009.5164694
Swartjes, L., van Beek, D.A., Fokkink, W.J., van Eekelen, J.A.W.M.: Model-based design of supervisory controllers for baggage handling systems. Simul. Model. Pract. Theory 78, 28–50 (2017). https://doi.org/10.1016/j.simpat.2017.08.005
Swartjes, L.: Model-based design of baggage handling systems. Ph.D. thesis, Eindhoven University of Technology (2018)
Theunissen, R.J.M., Petreczky, M., Schiffelers, R.R.H., van Beek, D.A., Rooda, J.E.: Application of supervisory control synthesis to a patient support table of a magnetic resonance imaging scanner. IEEE Trans. Autom. Sci. Eng. 11(1), 20–32 (2013)
Wonham, W.M., Ramadge, P.J.G.: Modular supervisory control of discrete-event systems. Math. Control Signals Syst. 1(1), 13–30 (1988)
Wonham, W.M., Cai, K.: Supervisory Control of Discrete-Event Systems, 1st edn. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-319-77452-7
Zaytoon, J., Carre-Meneatrier, V.: Synthesis of control implementation for discrete manufacturing systems. Int. J. Prod. Res. 39(2), 329–345 (2001). https://doi.org/10.1080/00207540010002388
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The authors thank Maria Angenent, Bert van der Vegt, and Han Vogel from Rijkswaterstaat for their feedback on the results.
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Goorden, M., van de Mortel-Fronczak, J., Reniers, M., Fokkink, W., Rooda, J. (2020). Modeling Guidelines for Component-Based Supervisory Control Synthesis. In: Arbab, F., Jongmans, SS. (eds) Formal Aspects of Component Software. FACS 2019. Lecture Notes in Computer Science(), vol 12018. Springer, Cham. https://doi.org/10.1007/978-3-030-40914-2_1
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