Design and Development of Industrial Cyber-Physical System Testbed

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1196)


Cyber-physical systems (CPS) are integral components of Industry 4.0. However, there is a lack of benchmark systems for the design, development and testing of CPS. To this end, this article presents the design and development of an industrial CPS testbed using a stand of two coupled tanks, a Programmable Logic Controller (PLC), and an Internet-of-Things (IoT) gateway. The testbed can connect to cloud services, combining the industrial and management components together, where a cloud-based service can be used to manage the system. It also can be used to design, develop and evaluate fault diagnosis, fault-tolerant control, and cyber-security algorithms for CPS. Due to its versatility and reconfigurability, the proposed testbed can be used to test various scenarios of possible faults and cyber-attacks in industrial systems.


Cyber-physical system Cloud-based control Fault diagnosis Fault-tolerant system Cyber-security 



Prof. Andrew Ordys acknowledges support from National Agency of Academic Exchange (NAWA), “Polish Returns” grant No: PPN/PPO/2018/1/00063/U/00001.


  1. 1.
    Atzori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010). Scholar
  2. 2.
    Maple, C.: Security and privacy in the Internet of Things. J. Cyber Policy 2(2), 155–184 (2017). Scholar
  3. 3.
    Almada-Lobo, F.: The industry 4.0 revolution and the future of manufacturing execution systems (MES). J. Innov. Manage. 3(4), 16–21 (2015)CrossRefGoogle Scholar
  4. 4.
    Marinescu, D.: Cloud Computing. Elsevier (2018)Google Scholar
  5. 5.
    Buyya, R., Dastjerd, A.V.: Internet of Things, Principles and Paradigms. Morgan Kaufmann Publishers (2016)Google Scholar
  6. 6.
    Stenerson, J., Deeg, D.: Siemens Step 7 (TIA Portal) Programming, a Practical Approach. CreateSpace Independent Publishing Platform (2015)Google Scholar
  7. 7.
    Monostori, L.: Cyber-physical production systems: roots, expectations and R&D challenges. In: Proceedings of the 47th CIRP Conference on Manufacturing Systems (2014).
  8. 8.
    Goldschmidt, T., Murugaiah, M.K., Sonntag, C., Schlich, B., Biallas, S., Weber, P.: Cloud-based control: a multi-tenant, horizontally scalable soft-PLC. In: 2015 IEEE 8th International Conference on Cloud Computing, New York, NY, pp. 909–916 (2015).
  9. 9.
    Schlechtendahl, J., Kretschmer, F., Sang, Z., Lechler, A., Xu, X.: Extended study of network capability for cloud based control systems. Robot. Comput. Integr. Manuf. 43, 89–95 (2017). Scholar
  10. 10.
    Farokhi, F., Shames, I., Batterham, N.: Secure and private cloud-based control using semi-homomorphic encryption. IFAC PapersOnLine 49(22), 163–168 (2016). Scholar
  11. 11.
    Junsoo, K., Lee, C., Shim, H., Cheon, J.H., Kim, A., Kim, M., Song, Y.: Encrypting controller using fully homomorphic encryption for security of cyber-physical systems. IFAC PapersOnLine 49(22), 175–180 (2016). Scholar
  12. 12.
    Costa, B., Skrjanc, I., Blazic, S., Angelov, P.: A practical implementation of self-evolving cloud-based control of a pilot plant. In: 2013 IEEE International Conference on Cybernetics (CYBCO), pp. 7–12 (2013).
  13. 13.
    Ordys, A.W., Uduehi, D., Johnson, M.: Process control performance assessment, from theory to implementation. In: Monograph Series: Advances in Industrial Control. Springer Verlag, London (2007).
  14. 14.
    Ordys, A., Grimble, M.J.: Benchmarking and tuning PID controllers. In: Vilanova, R., Visioli, A. (eds.) PID Control in the New Millennium: Lessons Learned and New Approaches, Springer Verlag (2012).
  15. 15.
    Krasniqi, X., Hajrizi, E.: Use of IoT technology to drive the automotive industry from connected to full autonomous vehicles. IFAC PapersOnLine 49(29), 269–274 (2016). Scholar
  16. 16.
    Ruiz Garcia, M.A., Rojas, R., Gualtieri, L., Rauch, E., Matt, D.: A human-in-the-loop cyber-physical system for collaborative assembly in smart manufacturing. Procedia CIRP 81, 600–605 (2019). Scholar
  17. 17.
    Patel, A.R., Patel, R.S., Singh, N.M., Kazi, F.S.: Vitality of robotics in healthcare industry: an Internet of Things (IoT) perspective. In: Bhatt, C., Dey, N., Ashour, A. (eds.) Internet of Things and Big Data Technologies for Next Generation Healthcare, Studies in Big Data, vol. 23, pp. 91–109. Springer, Cham (2019).
  18. 18.
    Satuyeva, B., Sauranbayev, C., Ukaegbu I.A., Nunna, H.S.V.S.K.: Energy 4.0: towards IoT applications in Kazakhstan. Procedia Comput. Sci. 151, 909-915 (2019).
  19. 19.
    Mocrii, D., Chen, Y., Musilek, P.: IoT-based smart homes: a review of system architecture software, communications, privacy and security. Internet of Things 1–2, 81–98 (2018). Scholar
  20. 20.
    Al-Jarrah, O.Y., Maple, C., Dianati, M., Oxtoby, D., Mouzakitis, A.: Intrusion detection systems for intra-vehicle networks: a review. IEEE Access 7, 21266–21289 (2019). Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute of Automatic Control and RoboticsWarsaw University of TechnologyWarsawPoland
  2. 2.Warwick Manufacturing GroupThe University of WarwickCoventryU.K.

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