APPLICATION OF CLONAL SELECTION ALGORITHM FOR PID CONTROLLER SYNTHESIS OF MIMO SYSTEMS IN OIL AND GAS INDUSTRY

Olga Shiryayeva

o.shiryayeva@satbayev.university
Satbayev Kazakh National Research Technical University, Automation and Control Department, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0003-2532-0636

Timur Samigulin


Satbayev Kazakh National Research Technical University, Automation and Control Department, Almaty, Kazakhstan (Kazakhstan)
http://orcid.org/0000-0001-9963-6719

Abstract

This paper presents the results of the Smart technologies application to the synthesis of MIMO-systems in oil and gas industry. In particular, there is considered a multidimensional multiply connected system for gas distillation process control through a distillation column with regulators configured on the basis of Smart-technologies – clonal selection algorithm (CLONALG) of an artificial immune system (AIS).


Keywords:

artificial immune system (AIS), clonal selection algorithm (CLONALG), PID-controller, MIMO-system

Arain B.A., Shaikh M.F., Harijan B.L., Memon T.D., Kalwar I.H.: Design of PID Controller Based on PSO Algorithm and Its FPGA Synthesization. International Journal of Engineering and Advanced Technology 2/2018, 201–207.
  Google Scholar

Bobikov A.I.: Correction of the weight matrices of the SURSD controller using bioinspired optimization algorithms. Bulletin of the Russian State Technical University 55/2016, 77–83.
DOI: https://doi.org/10.21667/1995-4565-2016-55-1-131-139   Google Scholar

Burlakov M.E.: Overview of the basic algorithm of the artificial immune system on the theory of negative selection. Ufa: Collection of articles of the International Scientific and Practical Conference 2014, 29–31.
  Google Scholar

Castro L., Zuben F.: The Clonal Selection Algorithm with Engineering Applications. Proceedings of Workshop GECCO’00, Las Vegas 2000, 36–37.
  Google Scholar

Chinjiang L.: Optimal design of high-rise building wiring based on ant colony optimization. Cluster Computing 2018, 1–8.
  Google Scholar

Dasgupta D., Yu S., Nino F.: Recent advances in artificial immune systems: models and applications. Applied Soft Computing Journal 2/2011, 1574–1587.
DOI: https://doi.org/10.1016/j.asoc.2010.08.024   Google Scholar

Kushnir N.V., Kushnir A.V., Anatskaya A.V., Katysheva P.A., Ustinov K.G.: Artificial immune systems: an overview and state of the art. Scientific works of KubGTU 12/2015, 10.
  Google Scholar

Li Zh., Huang H., Tan H., Zhang Y.: IA-AIS: An Improved Adaptive Artificial Immune System and Its Application in Tuning of PID Controlled System. Journal of Information & Computational Science 5/2008, 2193–2200.
  Google Scholar

Litvinenko V.I., Fefelov A.A., Goravsky S.P.: Object-oriented implementation of the clonal selection algorithm. Radio electronics. Computer science. Management 1/2003, 81–88.
  Google Scholar

Minian F, Sabouhi H., Hushmand J., Hallaj A., Khaledi H., Mohammadpour M.: Gas turbine preventive maintenance optimization using genetic algorithm. International Journal of System Assurance Engineering and Management 8/2016, 594–601.
DOI: https://doi.org/10.1007/s13198-017-0627-3   Google Scholar

Sahraoui M., Salem M.: Application of artificial immune algorithm-based optimisation in tuning a PID controller for nonlinear systems. International Journal of Automation and Control 3/2015, 186–200.
DOI: https://doi.org/10.1504/IJAAC.2015.070955   Google Scholar

Saleh M., Saad S.: Artificial Immune System based PID Tuning for DC Servo Speed Control. International Journal of Computer Applications 2/2016, 23–26.
DOI: https://doi.org/10.5120/ijca2016912265   Google Scholar

Shiryaeva O.I., Samigulin T.I.: Development of SMART-management system of a complex object of the oil and gas industry using the decoupling procedure. Bulletin of KazNRTU 5/2017, 50–55.
  Google Scholar

Slavov T., Roeva O.: Application of Genetic Algorithm to Tuning a PID Controller for Glucose Concentration Control. WSEAS Transactions on Systems 7/2012, 223–233.
  Google Scholar

Trebuhin A.V.: Methods for solving optimization problems using bioinspired algorithms. Young Researcher Don, DSTU 6/2017, 108–111.
  Google Scholar

Wang M., Feng S., He Ch., Li Zh., Yu X.: An Artificial Immune System Algorithm with Social Learning and Its Application in Industrial PID Controller Design. Mathematical Problems in Engineering 2017, 13.
DOI: https://doi.org/10.1155/2017/3959474   Google Scholar

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Published
2019-09-26

Cited by

Shiryayeva, O., & Samigulin , T. (2019). APPLICATION OF CLONAL SELECTION ALGORITHM FOR PID CONTROLLER SYNTHESIS OF MIMO SYSTEMS IN OIL AND GAS INDUSTRY. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 9(3), 50–53. https://doi.org/10.35784/iapgos.235

Authors

Olga Shiryayeva 
o.shiryayeva@satbayev.university
Satbayev Kazakh National Research Technical University, Automation and Control Department, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0000-0003-2532-0636

Authors

Timur Samigulin  

Satbayev Kazakh National Research Technical University, Automation and Control Department, Almaty, Kazakhstan Kazakhstan
http://orcid.org/0000-0001-9963-6719

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