TY - GEN
T1 - Design of PIλ Dδ-Heart Rate Controllers for Cardiac Pacemaker
AU - Momani, Shaher
AU - Batiha, Iqbal M.
AU - El-Khazali, Reyad
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - An arrhythmia is any disorder of your heart rate or rhythm. It means that the heartbeats too quickly, too slowly, or with an irregular pattern. Most arrhythmias result from problems in the electrical system of the heart. A cardiac pacemaker is a medical device that invented for those reasons. It helps the suffering patient to control abnormal heart rhythms. Several proportional-integral-derivative (PID) controllers have been proposed for improving the performance of such device, but it was shown that each of them has some limitations in facing the dynamic challenge of regulating heart rate. In this paper, we propose a robust fractional-order PID (PIλ Dδ) controller to improve that performance. This controller has been designed based on Particle Swarm Optimization (PSO) algorithm via El-Khazali's approach. To illustrate the proposed design method, the objective function of the model under consideration is presented as well as the results of using the PIλ Dδ-controller are compared with the results of using the conventional PID-controller to minimize several error functions; ITAE, IAE, ISE and ITSE. These results of such comparisons that are related to step response specifications, allow us to see the effectiveness of the best controller. Among of all these performance indices, the ITAE in case of the PIλ Dδ-controller, shows more capability than others in providing closed-loop response with minimal overshoot, fast rise time and fast settling time. Further, to illustrate the influence and the efficiency of the proposed design method, the PSO-PIλ Dδ-controller via El-Khazali's approach is compared with that of the same using two well-known approximations for s±α; i.e., the Continued Fractional Expansion (CFE) and Oustaloup's approximations. The main results of this work are verified via numerical simulations.
AB - An arrhythmia is any disorder of your heart rate or rhythm. It means that the heartbeats too quickly, too slowly, or with an irregular pattern. Most arrhythmias result from problems in the electrical system of the heart. A cardiac pacemaker is a medical device that invented for those reasons. It helps the suffering patient to control abnormal heart rhythms. Several proportional-integral-derivative (PID) controllers have been proposed for improving the performance of such device, but it was shown that each of them has some limitations in facing the dynamic challenge of regulating heart rate. In this paper, we propose a robust fractional-order PID (PIλ Dδ) controller to improve that performance. This controller has been designed based on Particle Swarm Optimization (PSO) algorithm via El-Khazali's approach. To illustrate the proposed design method, the objective function of the model under consideration is presented as well as the results of using the PIλ Dδ-controller are compared with the results of using the conventional PID-controller to minimize several error functions; ITAE, IAE, ISE and ITSE. These results of such comparisons that are related to step response specifications, allow us to see the effectiveness of the best controller. Among of all these performance indices, the ITAE in case of the PIλ Dδ-controller, shows more capability than others in providing closed-loop response with minimal overshoot, fast rise time and fast settling time. Further, to illustrate the influence and the efficiency of the proposed design method, the PSO-PIλ Dδ-controller via El-Khazali's approach is compared with that of the same using two well-known approximations for s±α; i.e., the Continued Fractional Expansion (CFE) and Oustaloup's approximations. The main results of this work are verified via numerical simulations.
KW - cardiac pacemaker
KW - El-Khazali's approach
KW - Laplacian operator
KW - particle swarm optimization algorithm
KW - PID-controller
UR - http://www.scopus.com/inward/record.url?scp=85081343954&partnerID=8YFLogxK
U2 - 10.1109/ISSPIT47144.2019.9001785
DO - 10.1109/ISSPIT47144.2019.9001785
M3 - Conference contribution
AN - SCOPUS:85081343954
T3 - 2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019
BT - 2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019
Y2 - 10 December 2019 through 12 December 2019
ER -