In Silico Evaluation of a Physiological Controller for a Rotary Blood Pump Based on a Sensorless Estimator

Bakouri, Mohsen; Alassaf, Ahmad; Alshareef, Khaled; AlMohimeed, Ibrahim; Alqahtani, Abdulrahman; Aboamer, Mohamed Abdelkader; Alonazi, Khalid A.; Alharbi, Yousef

doi:10.3390/app122211537

Open AccessArticle

In Silico Evaluation of a Physiological Controller for a Rotary Blood Pump Based on a Sensorless Estimator

by

Mohsen Bakouri

^1,2,*

,

Ahmad Alassaf

¹,

Khaled Alshareef

^1,*,

Ibrahim AlMohimeed

¹

,

Abdulrahman Alqahtani

^1,3,

Mohamed Abdelkader Aboamer

¹

,

Khalid A. Alonazi

⁴ and

Yousef Alharbi

³

¹

Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia

²

Department of Physics, College of Arts, Fezzan University, Traghen City 71340, Libya

³

Department of Biomedical Technology, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia

⁴

Health Services, Ministry of Defense, Riyadh 12426, Saudi Arabia

^*

Authors to whom correspondence should be addressed.

Appl. Sci. 2022, 12(22), 11537; https://doi.org/10.3390/app122211537

Submission received: 23 September 2022 / Revised: 24 October 2022 / Accepted: 4 November 2022 / Published: 14 November 2022

(This article belongs to the Section Biomedical Engineering)

Download

Browse Figures

Versions Notes

Abstract

In this study, we present a sensorless, robust, and physiological tracking control method to drive the operational speed of implantable rotary blood pumps (IRBPs) for patients with heart failure (HF). The method used sensorless measurements of the pump flow to track the desired reference flow (

Q_{r}

). A dynamical estimator model was used to estimate the average pump flow (

{\hat{Q}}_{e s t}

) based on pulse-width modulation (PWM) signals. A proportional-integral (PI) controller integrated with a fuzzy logic control (FLC) system was developed to automatically adapt the pump flow. The

Q_{r}

was modeled as a constant and trigonometric function using an elastance function (

E (t

)) to achieve a variation in the metabolic demand. The proposed method was evaluated in silico using a lumped parameter model of the cardiovascular system (CVS) under rest and exercise scenarios. The findings demonstrated that the proposed control system efficiently updated the pump speed of the IRBP to avoid suction or overperfusion. In all scenarios, the numerical results for the left atrium pressure (

P_{l a}

), aortic pressure (

P_{a o}

), and left ventricle pressure (

P_{l v}

) were clinically accepted. The

{\hat{Q}}_{e s t}

accurately tracked the

Q_{r}

within an error of 0.25 L/min.

Keywords: heart failure; proportional-integral; fuzzy logic control; estimator model; rotary blood pump

Share and Cite

MDPI and ACS Style

Bakouri, M.; Alassaf, A.; Alshareef, K.; AlMohimeed, I.; Alqahtani, A.; Aboamer, M.A.; Alonazi, K.A.; Alharbi, Y. In Silico Evaluation of a Physiological Controller for a Rotary Blood Pump Based on a Sensorless Estimator. Appl. Sci. 2022, 12, 11537. https://doi.org/10.3390/app122211537

AMA Style

Bakouri M, Alassaf A, Alshareef K, AlMohimeed I, Alqahtani A, Aboamer MA, Alonazi KA, Alharbi Y. In Silico Evaluation of a Physiological Controller for a Rotary Blood Pump Based on a Sensorless Estimator. Applied Sciences. 2022; 12(22):11537. https://doi.org/10.3390/app122211537

Chicago/Turabian Style

Bakouri, Mohsen, Ahmad Alassaf, Khaled Alshareef, Ibrahim AlMohimeed, Abdulrahman Alqahtani, Mohamed Abdelkader Aboamer, Khalid A. Alonazi, and Yousef Alharbi. 2022. "In Silico Evaluation of a Physiological Controller for a Rotary Blood Pump Based on a Sensorless Estimator" Applied Sciences 12, no. 22: 11537. https://doi.org/10.3390/app122211537

APA Style

Bakouri, M., Alassaf, A., Alshareef, K., AlMohimeed, I., Alqahtani, A., Aboamer, M. A., Alonazi, K. A., & Alharbi, Y. (2022). In Silico Evaluation of a Physiological Controller for a Rotary Blood Pump Based on a Sensorless Estimator. Applied Sciences, 12(22), 11537. https://doi.org/10.3390/app122211537

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

In Silico Evaluation of a Physiological Controller for a Rotary Blood Pump Based on a Sensorless Estimator

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI