CONTROLLING THE MEAN ARTERIAL PRESSURE BY MODIFIED MODEL REFERENCE ADAPTIVE CONTROLLER BASED ON TWO OPTIMIZATION ALGORITHMS

Rawaa HAAMED; Ekhlas HAMEED

doi:10.23743/acs-2020-12

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Published: Jun 30, 2020

DOI: https://doi.org/10.23743/acs-2020-12

Issue Vol. 16 No. 2 (2020)

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DOI

https://doi.org/10.23743/acs-2020-12

Authors

Rawaa HAAMED

engrawaa1990@gmail.com

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

Ekhlas HAMEED

ekkaram2020@gmail.com

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

Abstract

This paper Presents Modified Model Reference Adaptive Controller (MRAC) to regulate the hight blood pressure. It is based on slate model that represent the mathematical equation that clarifies relationship between blood pressure and vasoactive drug injection. In this work Squirrel Search Algorithm (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.

Keywords:

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

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HAAMED, R., & HAMEED, E. (2020). CONTROLLING THE MEAN ARTERIAL PRESSURE BY MODIFIED MODEL REFERENCE ADAPTIVE CONTROLLER BASED ON TWO OPTIMIZATION ALGORITHMS. Applied Computer Science, 16(2), 53–67. https://doi.org/10.23743/acs-2020-12

CONTROLLING THE MEAN ARTERIAL PRESSURE BY MODIFIED MODEL REFERENCE ADAPTIVE CONTROLLER BASED ON TWO OPTIMIZATION ALGORITHMS

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