Design of Model Free Sliding Mode Controller based on BBO Algorithm for Heart Rate Pacemaker

Karam, Ekhlas H.; Tashan, Tariq; Mohsin, Eman Falah

doi:10.5815/ijmecs.2019.03.05

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The differential evolution algorithm is adopted to optimize the controller parameters, the best performance is obtained from the third structure. A modified modelfree sliding mode controller is presented in [10] for HR regulation in a pacemaker, the BBO algorithm is used to tune the parameters of the controller. Although the mentioned controllers are claimed to have good performance, but these controllers use only PID approaches to improve the performance of the pacemaker, with few controllers used as pacemaker.…”

Section: Introductionmentioning

confidence: 99%

Design and FPGA Implementation of Immune-PID Controller Based on BBO Algorithm for Heart Rate Regulation

Mohsin¹,

Tashan²,

Karam³

2021

IJIES

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In this paper an optimal Immune-Proportional-Integral-Derivative (Immune-PID) scheme is suggested to control to the heart rate of humans and regulate it, based on Yanagihara, Noma, and Irisawa (YNI) as mathematical model of the heart rate. The parameters of the suggested immune PID controller are optimized by using Biogeography-Based-Optimization (BBO) algorithm. In addition, the proposed controller scheme is implemented using Field Programmable Gate Array (FPGA) due to its great data storage capacity, low consumption of energy, and high speed of operation. The Xilinx system generator blocks and Spartan-6 (XC6SLX45T-3FGG484) board are used due to availability with 1% utilization of hardware platform slices. The performance of the proposed controller is compared to traditional PID and immune controllers. That comparative analysis results show best improvement when using the proposed controller with 0% maximum overshoot, a reduction of steady state error and rising time reaches to 0.1 and 0.0023 second respectively and faster response reaches to 0.01 second.

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Section: Introductionmentioning

confidence: 99%

Design and FPGA Implementation of Immune-PID Controller Based on BBO Algorithm for Heart Rate Regulation

Mohsin¹,

Tashan²,

Karam³

2021

IJIES

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“…Ekhlas H. Karam et al 26 had presented a modified model‐free sliding mode controller (MF‐SMC) with biogeography‐based optimization (BBO) algorithm to control the heart rate. MF‐SMC control signal's chattering was alleviated by using a smoothing boundary layer.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of batteryless cardiac pacemaker through combining thermoelectric generators along with DC‐DC converter

Shwetha¹,

Lakshmi

2021

Int Trans Electr Energ Syst

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Implantable cardiac pacemakers are equipped with batteries to provide power supply that have a limited lifetime. Battery-based implantable cardiac pacemakers need surgical intervention to replace batteries. This is an undesirable condition that can increase the risk of complications and costs for patients. To overcome the above shortcomings, a batteryless cardiac pacemaker is introduced, which harvests energy from the body temperature. In this article, a batteryless cardiac pacemaker is designed, which is powered by sustainable energy sources. Hence, thermoelectric generators (TEGs) are considered the sustainable renewable energy source that powers up cardiac pacemakers with effective reduction in dimension without limiting the capacity. Then, power electronic converters adapted with TEGs has enhanced the ability of controlling environmental conditions as well as maximizing energy harvesting. Therefore, a DC-DC converter is designed with TEG to solve environmental conditions issues of TEG. In this proposed methodology, a TEG with three different types of DC-DC converters is designed and validated to analyze the performance of converters such as boost converter, buck converter, and buckboost converter. The proposed design was analyzed based on a case example and simulated using Cadence Capture CIS. Finally, a prototype of our design was developed to evaluate the experimental outcome. Four modules are designed and validated: general pacemaker, TEG with pacemaker, TEG with boost converter, TEG with buck converter, and TEG with buck-boost List of Symbols and Abbreviations: ρ, density; Q, heat flux; Q, volumetric heat; C P , specific heat at consonant pressure; j !

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The Wind Generator’ Power Effective Forecast Method Based on Modified One-Dimensional Convolutional Neural Network and Metaheuristics

Fedorov

Leshchenko

Rudnytskyi

et al. 2022

Lecture Notes in Networks and Systems

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Design of Model Free Sliding Mode Controller based on BBO Algorithm for Heart Rate Pacemaker

Cited by 4 publications

References 14 publications

Design and FPGA Implementation of Immune-PID Controller Based on BBO Algorithm for Heart Rate Regulation

Design and FPGA Implementation of Immune-PID Controller Based on BBO Algorithm for Heart Rate Regulation

Design and analysis of batteryless cardiac pacemaker through combining thermoelectric generators along with DC‐DC converter

The Wind Generator’ Power Effective Forecast Method Based on Modified One-Dimensional Convolutional Neural Network and Metaheuristics

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