Intelligent fractional-order PID (FOPID) heart rate controller for cardiac pacemaker

Shivaram P. Arunachalam, Suraj Kapa, Siva K. Mulpuru, Paul A. Friedman, Elena G. Tolkacheva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Efficient and robust control of cardiac pacemaker is essential for providing life-saving control action to regulate Heart Rate (HR) in a dynamic environment. Several controller designs involving proportional-integral-derivative (PID) and fuzzy logic controllers (FLC) have been reported but each have their limitations to face the dynamic challenge of regulating HR. Fractional-order control (FOC) systems provide controllers that are described by fractional-order differential equations that offers fine tuning of the control parameters to provide robust and efficient performance. In this work a robust fractional-order PID (FOPID) controller is designed based on Ziegler-Nichols tuning method. The stable FOPID controller outperformed PID controllers with different tuning methods and also the FLC in terms of rise time, settling time and % overshoot. The FOPID controller also demonstrated feasibility for rate-adaptive pacing. However, the FOPID controller designed in this work is not optimal and is limited by the tuning procedure. More efficient design using optimization techniques such as particle swarm intelligence or genetic algorithm tuning can offer optimal control of the cardiac pacemaker.

Original languageEnglish (US)
Title of host publication2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages105-108
Number of pages4
ISBN (Electronic)9781509011667
DOIs
StatePublished - Dec 27 2016
Event2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016 - Cancun, Mexico
Duration: Nov 9 2016Nov 11 2016

Other

Other2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
CountryMexico
CityCancun
Period11/9/1611/11/16

Fingerprint

Fuzzy Logic
Heart Rate
Intelligence

Cite this

Arunachalam, S. P., Kapa, S., Mulpuru, S. K., Friedman, P. A., & Tolkacheva, E. G. (2016). Intelligent fractional-order PID (FOPID) heart rate controller for cardiac pacemaker. In 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016 (pp. 105-108). [7797708] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2016.7797708

Intelligent fractional-order PID (FOPID) heart rate controller for cardiac pacemaker. / Arunachalam, Shivaram P.; Kapa, Suraj; Mulpuru, Siva K.; Friedman, Paul A.; Tolkacheva, Elena G.

2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 105-108 7797708.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Arunachalam, SP, Kapa, S, Mulpuru, SK, Friedman, PA & Tolkacheva, EG 2016, Intelligent fractional-order PID (FOPID) heart rate controller for cardiac pacemaker. in 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016., 7797708, Institute of Electrical and Electronics Engineers Inc., pp. 105-108, 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016, Cancun, Mexico, 11/9/16. https://doi.org/10.1109/HIC.2016.7797708
Arunachalam SP, Kapa S, Mulpuru SK, Friedman PA, Tolkacheva EG. Intelligent fractional-order PID (FOPID) heart rate controller for cardiac pacemaker. In 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 105-108. 7797708 https://doi.org/10.1109/HIC.2016.7797708
Arunachalam, Shivaram P. ; Kapa, Suraj ; Mulpuru, Siva K. ; Friedman, Paul A. ; Tolkacheva, Elena G. / Intelligent fractional-order PID (FOPID) heart rate controller for cardiac pacemaker. 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 105-108
@inproceedings{45cf73655b76488a8b7d843df7b64491,
title = "Intelligent fractional-order PID (FOPID) heart rate controller for cardiac pacemaker",
abstract = "Efficient and robust control of cardiac pacemaker is essential for providing life-saving control action to regulate Heart Rate (HR) in a dynamic environment. Several controller designs involving proportional-integral-derivative (PID) and fuzzy logic controllers (FLC) have been reported but each have their limitations to face the dynamic challenge of regulating HR. Fractional-order control (FOC) systems provide controllers that are described by fractional-order differential equations that offers fine tuning of the control parameters to provide robust and efficient performance. In this work a robust fractional-order PID (FOPID) controller is designed based on Ziegler-Nichols tuning method. The stable FOPID controller outperformed PID controllers with different tuning methods and also the FLC in terms of rise time, settling time and {\%} overshoot. The FOPID controller also demonstrated feasibility for rate-adaptive pacing. However, the FOPID controller designed in this work is not optimal and is limited by the tuning procedure. More efficient design using optimization techniques such as particle swarm intelligence or genetic algorithm tuning can offer optimal control of the cardiac pacemaker.",
author = "Arunachalam, {Shivaram P.} and Suraj Kapa and Mulpuru, {Siva K.} and Friedman, {Paul A.} and Tolkacheva, {Elena G.}",
year = "2016",
month = "12",
day = "27",
doi = "10.1109/HIC.2016.7797708",
language = "English (US)",
pages = "105--108",
booktitle = "2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Intelligent fractional-order PID (FOPID) heart rate controller for cardiac pacemaker

AU - Arunachalam, Shivaram P.

AU - Kapa, Suraj

AU - Mulpuru, Siva K.

AU - Friedman, Paul A.

AU - Tolkacheva, Elena G.

PY - 2016/12/27

Y1 - 2016/12/27

N2 - Efficient and robust control of cardiac pacemaker is essential for providing life-saving control action to regulate Heart Rate (HR) in a dynamic environment. Several controller designs involving proportional-integral-derivative (PID) and fuzzy logic controllers (FLC) have been reported but each have their limitations to face the dynamic challenge of regulating HR. Fractional-order control (FOC) systems provide controllers that are described by fractional-order differential equations that offers fine tuning of the control parameters to provide robust and efficient performance. In this work a robust fractional-order PID (FOPID) controller is designed based on Ziegler-Nichols tuning method. The stable FOPID controller outperformed PID controllers with different tuning methods and also the FLC in terms of rise time, settling time and % overshoot. The FOPID controller also demonstrated feasibility for rate-adaptive pacing. However, the FOPID controller designed in this work is not optimal and is limited by the tuning procedure. More efficient design using optimization techniques such as particle swarm intelligence or genetic algorithm tuning can offer optimal control of the cardiac pacemaker.

AB - Efficient and robust control of cardiac pacemaker is essential for providing life-saving control action to regulate Heart Rate (HR) in a dynamic environment. Several controller designs involving proportional-integral-derivative (PID) and fuzzy logic controllers (FLC) have been reported but each have their limitations to face the dynamic challenge of regulating HR. Fractional-order control (FOC) systems provide controllers that are described by fractional-order differential equations that offers fine tuning of the control parameters to provide robust and efficient performance. In this work a robust fractional-order PID (FOPID) controller is designed based on Ziegler-Nichols tuning method. The stable FOPID controller outperformed PID controllers with different tuning methods and also the FLC in terms of rise time, settling time and % overshoot. The FOPID controller also demonstrated feasibility for rate-adaptive pacing. However, the FOPID controller designed in this work is not optimal and is limited by the tuning procedure. More efficient design using optimization techniques such as particle swarm intelligence or genetic algorithm tuning can offer optimal control of the cardiac pacemaker.

UR - http://www.scopus.com/inward/record.url?scp=85010692883&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010692883&partnerID=8YFLogxK

U2 - 10.1109/HIC.2016.7797708

DO - 10.1109/HIC.2016.7797708

M3 - Conference contribution

AN - SCOPUS:85010692883

SP - 105

EP - 108

BT - 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -