Abstract
Purpose: The control over the up-to-date processes at this stage of development of control systems is closely linked to the search for new methods which are based on the modern intelligent approaches and opportunities of implementing these systems in common process equipment, mostly in use, by applying software provided by this equipment.
Methods: The system proposed is based on different elements of conventional theories for process control and identification of control objects using the approaches centered around the fuzzy set theory, as well as dynamic and object-oriented programming.
Findings: Of this work involves developing a mathematical model of the ultrasonic lance based on existing automated process control system implemented with use of PLC followed by implementation of this system with use of an intelligent approach at the process equipment.
Originality/value: Is defined by description of a real process and implementation of an oxygen control system within the ultrasonic lance with use of the existing process equipment, and fulfillment of control procedures using a fuzzy approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cherny, S., Solovyev, V.: Another approach to enhancement of fuzzy controller intellectual capabilities. In: International Conference on Industrial Engineering in St. Petersburg, pp. 8076154–8076162 (2017). https://doi.org/10.1109/ICIEAM.2017.8076154
Hu, W., Starr, A., Leung, Y.: Two diagnostic models for PLC controlled flexible manufacturing systems. Int. J. Mach. Tools Manuf 39, 1979–1991 (1999)
Cherny, S., Susdorf, V., Buzikayeva, A.: Modeling multi-cascade fuzzy controller with integrated implementation of various control laws. In: International Ural Conference on Electrical Power Engineering in Chelyabinsk, pp. 8877652–8877660 (2019). https://doi.org/10.1109/URALCON.2019.8877652
Yao, Y., Sheng, C., Fu, Q., Liu, H., Wang, H.: A propagation model with defensive measures for PLC-PC worms in industrial networks. Appl. Math. Model. 69, 696–713 (2019)
Priyanka, E., Maheswari, C., Thangavel, S.: Online monitoring and control of flow rate in oil pipelines transportation system by using PLC based fuzzy PID controller. Flow Meas. Instrum. 62, 144–151 (2018)
Su, H., Luo, Z., Feng, Y., Liu, Z.: Application of Siemens PLC in thermal simulator control system. J. Procedia Manuf. 37, 38–45 (2019)
Priyanka, E., Maheswari, C.: Parameter monitoring and control during petrol transportation using PLC based PID controller. J. Appl. Res. Technol. 14, 125–131 (2016)
Susdorf, V., Meshkov, A., Aung, M.: Microcontroller control of series excitation motor. In: International Multi-Conference of Industrial Engineering and Modern Technologies, in Vladivostok, p. 8602556 (2018). https://doi.org/10.1109/FarEastCon.2018.8602556
Glazachev, A., Obraztsov, K., Umurzakova, A., Susdorf, V., Halasz, S.: Machine-converter voltage source for autonomous systems of distributed power supply. In: EAI Endorsed Transactions on Energy, Belgium, p. 23615 (2018). https://doi.org/10.4108/eai.10-7-2018.154980
Susdorf, V., Kuzmin, R., Galamaga, K.: Control correlation when adjusting parameters of microhydroelectric power plant at variable load. In: International Conference on Industrial Engineering, in St. Petersburg, p. 8076336 (2017a). https://doi.org/10.1109/ICIEAM.2017.8076336
Susdorf, V., Meshkov, A., Aung, M.: Design of series-wound motor control. In: International Conference on Industrial Engineering in St. Petersburg, Russia, p. 8076346 (2017b). https://doi.org/10.1109/ICIEAM.2017.8076346
Sukhorukov, S., Soloviev, V., Malysheva, O.: Research of deicing processes by means of electrodynamic method. J. Adv. Intell. Syst. Comput. 170–176 (2018). https://doi.org/10.1007/978-3-319-70987-1_18
Acknowledgments
The research is funded from Komsomolsk-na-Amure State University Competitiveness Enhancement Program grant, Project Number R-113/NIS2019.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Urasov, D.V., Cherniy, S.P., Solovyev, V.A., Buzikayeva, A.V. (2021). Intelligent Control System for the Complex of Ultrasonic Gas-Oxigen Burners. In: Shakirova, O.G., Bashkov, O.V., Khusainov, A.A. (eds) Current Problems and Ways of Industry Development: Equipment and Technologies. Lecture Notes in Networks and Systems, vol 200. Springer, Cham. https://doi.org/10.1007/978-3-030-69421-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-69421-0_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69420-3
Online ISBN: 978-3-030-69421-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)