IMPROVEMENT OF LEFT VENTRICULAR ASSIST DEVICE (LVAD) IN ARTIFICIAL HEART USING PARTICLE SWARM OPTIMIZATION

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NESHAT YAZDI MAJID; KARDEHI MOGHADDAM REIHANEH

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Journal Paper

Paper Information

Journal: JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING Year:2013 | Volume:1 | Issue:4 Page(s): 9-15

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Information Journal Paper

Title

IMPROVEMENT OF LEFT VENTRICULAR ASSIST DEVICE (LVAD) IN ARTIFICIAL HEART USING PARTICLE SWARM OPTIMIZATION

Author(s)

NESHAT YAZDI MAJID | KARDEHI MOGHADDAM REIHANEH | Issue Writer Certificate

Keywords

CURRENT SAMPLE

OPTIMIZATION

OVERSHOOT

PSO

SETTLING TIME

STABILITY

Abstract

In this approach, the Left ventricular assist pump for patients with left ventricular failure is used. The failure of the left ventricle is the most common heart disease during these days. In this article, a State feedback controller method is used to optimize the efficiency of a sampling pump current. Particle Swarm Algorithm, which is a set of rules to update the position and velocity, is applied to find the optimal State feedback controller parameters for the first time. In comparison to other OPTIMIZATION algorithms, including genetic algorithm, PSO has higher convergence speed. As it is shown in the simulation part in the same number of iterations, the PSO algorithm decreases the cost function, which leads to desired transient and STABILITY response of the system more effectively. In addition, in this work we propose a new structure for the cost function which includes the dynamical equations of current sampling pump in combination with penalty sentences which decrease the speed and output fluctuations. In this article, the system model and the system controlling parameters are set in such a way that the proposed cost function can be optimized. The efficiency of the method is illustrated in simulation part.

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APA: Copy

NESHAT YAZDI, MAJID, & KARDEHI MOGHADDAM, REIHANEH. (2013). IMPROVEMENT OF LEFT VENTRICULAR ASSIST DEVICE (LVAD) IN ARTIFICIAL HEART USING PARTICLE SWARM OPTIMIZATION. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 1(4), 9-15. SID. https://sid.ir/paper/333784/en

Vancouver: Copy

NESHAT YAZDI MAJID, KARDEHI MOGHADDAM REIHANEH. IMPROVEMENT OF LEFT VENTRICULAR ASSIST DEVICE (LVAD) IN ARTIFICIAL HEART USING PARTICLE SWARM OPTIMIZATION. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING[Internet]. 2013;1(4):9-15. Available from: https://sid.ir/paper/333784/en

IEEE: Copy

MAJID NESHAT YAZDI, and REIHANEH KARDEHI MOGHADDAM, “IMPROVEMENT OF LEFT VENTRICULAR ASSIST DEVICE (LVAD) IN ARTIFICIAL HEART USING PARTICLE SWARM OPTIMIZATION,” JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, vol. 1, no. 4, pp. 9–15, 2013, [Online]. Available: https://sid.ir/paper/333784/en

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