Controlling the mean arterial pressure by modified model reference adaptive controller based on two optimization algorithms

• Autorzy: Haamed Rawaa , Hameed Ekhlas

Identyfikatory

DOI

10.23743/acs-2020-12

• Języki publikacji: EN

Abstrakty

EN

This paper Presents Modified Model Reference Adaptive Controller (MRAC) to regulate the hight blood pressure. It is based on slate model that repre-sent the mathematical equation that clarifies relationship between blood pressure and vasoactive drug injection. In this work Squirrel Search Algo-rithm (SSA) and Grey Wolf Optimizer (GWO) algorithms are considered to optimize the controller parameters. the results showed that the suggested controller has good performance and stabilize the mean arterial pressure with small settling time (below than 400s) and small overshoot (below than 1 mmHg) with low amount of error.

Słowa kluczowe

EN

Mean Arterial Pressure; Squirrel Search Algorithm; Model Reference Adaptive Controller

PL

średnie ciśnienie tętnicze; algorytm wyszukiwania; kontroler adaptacyjny odniesienia modelu

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2020
• Tom: Vol. 16, no 2
• Strony: 53--67
• Opis fizyczny: Bibliogr. 22 poz., fig., tab.

Twórcy

autor

Haamed Rawaa

• Mustansiriyah University, Computer Engineering Department, Palestine Street, 14022, Baghdad, Iraq

autor

Hameed Ekhlas

• Mustansiriyah University, Computer Engineering Department, Palestine Street, 14022, Baghdad, Iraq

Bibliografia

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Uwagi

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