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.
N1 - Publisher Copyright:
© 2016 IEEE.
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
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U2 - 10.1109/HIC.2016.7797708
DO - 10.1109/HIC.2016.7797708
M3 - Conference contribution
AN - SCOPUS:85010692883
T3 - 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
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.
T2 - 2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference, HI-POCT 2016
Y2 - 9 November 2016 through 11 November 2016
ER -