improvement of left ventricular assist device (lvad) in artificial heart using particle swarm optimization

in this approach, the left ventricular assist pump for patients with left ventricular failure isused. the failure of the left ventricle is the most common heart disease during these days. inthis article, a state feedback controller method is used to optimize the efficiency of a samplingpump current. particle swarm algorithm, which is a set of rules to update the position andvelocity, 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 higherconvergence speed. as it is shown in the simulation part in the same number of iterations, thepso algorithm decreases the cost function, which leads to desired transient and stabilityresponse of the system more effectively. in addition, in this work we propose a new structurefor the cost function which includes the dynamical equations of current sampling pump incombination with penalty sentences which decrease the speed and output fluctuations. in thisarticle, the system model and the system controlling parameters are set in such a way that theproposed cost function can be optimized. the efficiency of the method is illustrated insimulation part.