Application of clonal selection algorithm for PID controller synthesis of mimo systems in oil and gas industry

• Autorzy: Shiryayeva Olga , Samigulin Timur

Identyfikatory

DOI

10.35784/IAPGOS.235

Warianty tytułu

PL

Zastosowanie algorytmu selekcji klonalnej do syntezy regulatora PID systemów mimo w przemyśle petrochemicznym

• Języki publikacji: EN

Abstrakty

EN

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).

PL

W artykule przedstawiono wyniki zastosowania inteligentnych technologii do syntezy systemów MIMO w przemyśle petrochemicznym. W szczególności rozważany jest wielowymiarowy układ sterowania procesem destylacji gazu w kolumnie destylacyjnej z regulatorami skonfigurowanymi na podstawie tzw. inteligentnych technologii – algorytmu doboru klonów (CLONALG) sztucznego układu immunolgicznego (AIS).

Słowa kluczowe

EN

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

PL

sztuczny układ immunologiczny; AIS; algorytm doboru klonów; CLONALG; kontroler PID; system MIMO

• Wydawca: Wydawnictwo Politechniki Lubelskiej
• Czasopismo: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
• Rocznik: 2019
• Tom: T. 9, nr 3
• Strony: 50--53
• Opis fizyczny: Bibliogr. 16 poz., rys.

Twórcy

autor

Shiryayeva Olga

• Satbayev Kazakh National Research Technical University, Automation and Control Department, Almaty, Kazakhstan

autor

Samigulin Timur

• Satbayev Kazakh National Research Technical University, Automation and Control Department, Almaty, Kazakhstan

Bibliografia

• [1] 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.
• [2] 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.
• [3] 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.
• [4] Castro L., Zuben F.: The Clonal Selection Algorithm with Engineering Applications. Proceedings of Workshop GECCO’00, Las Vegas 2000, 36–37.
• [5] Chinjiang L.: Optimal design of high-rise building wiring based on ant colony optimization. Cluster Computing 2018, 1–8.
• [6] Dasgupta D., Yu S., Nino F.: Recent advances in artificial immune systems: models and applications. Applied Soft Computing Journal 2/2011, 1574–1587.
• [7] 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.
• [8] 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.
• [9] 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.
• [10] 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.
• [11] 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.
• [12] Saleh M., Saad S.: Artificial Immune System based PID Tuning for DC Servo Speed Control. International Journal of Computer Applications 2/2016, 23–26.
• [13] 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.
• [14] 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.
• [15] Trebuhin A.V.: Methods for solving optimization problems using bioinspired algorithms. Young Researcher Don, DSTU 6/2017, 108–111.
• [16] 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.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).