Abstract
Creating high-precision and reliable control systems with elements of artificial intelligence is a relevant problem. In existing works, this issue has been considered. However, the important and urgent task, not yet solved, is to reduce energy consumption in relay control systems with artificial intelligence components (RCS AIC) without degrading their stability and quality. The goal of this work is estimating the energy consumption in the RCS AIC and its use for the management of the thermal facility. A model of a “smart house” heating control system has been developed, the dependences of the energy consumption on the system parameters have been obtained with use of Markov process model and a method for reducing them has been proposed. An algorithm is proposed that allows us to work out recommendations on how to change the hydraulic and temperature parameters of the heating system and the tuning parameters of the control system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhao, X., Zhang, X.: Artificial intelligence applications in power system. In: Advances in Intelligent Systems Research, vol. 133, pp. 158–161 (2016)
Rama Krishna, A.V.V., Sukanya Devi, Ch., RajaSneha, P.: Home automation using remote control system. Int. J. Eng. Res. Sci. 2(9), 84–91 (2016)
Das, S.K., et al.: The role of prediction algorithms in the MavHome smart home architecture. IEEE Wirel. Commun. 9(6), 77–84 (2002)
Jaszczak, S., Kolodziejczyk, J.: An industrial fuzzy PID autotuner based on the relay method. In: ICAISC 2014, Part I. LNAI, vol. 8467, pp. 193–204 (2014)
Liu, J., Wang, W., Golnaraghi, F., Kubica, E.: A novel fuzzy framework for nonlinear system control. Fuzzy Sets Syst. 161(21), 2746–2759 (2010). https://doi.org/10.1016/j.fss.2010.04.009
Dubovoi, V.M., Yukhymchuk, M.S., et al. Evaluation of uncertainty of control by measurement with logical conditions. In: Proceedings of SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100314F (2016). https://doi.org/10.1117/12.2248871
Nacer, A., Marhic, B., Delahoche, L.: Smart home smart HEMS smart heating: an overview of the latest products and trends. In: 2017 6th International Conference on Systems and Control (ICSC), pp. 90–95 (2017). ISSN 2379-0067
Bayas, M., Dubovoy, V.: Efficient resources allocation in technological processes using genetic algorithm. Middle-East J. Sci. Res. 14(1), 01–04 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Rovira, R.H., Duvoboi, V.M., Yukhimchuk, M.S., Bayas, M.M., Torres, W.D. (2018). A Model of Self-oscillations in Relay Outputs Control Systems with Elements of Artificial Intelligence. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-73450-7_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73449-1
Online ISBN: 978-3-319-73450-7
eBook Packages: EngineeringEngineering (R0)