Abstract
Artificial is usually used by heart
failure patients with left ventricular failure. Than those where the disease is
left ventricular failure, the most common heart disease in recent years is the
other auxiliary equipment for the human heart than considered and used. In this
paper, for the first time, the uncertainty of the parameters of the system is
considered and the range of stabilized parameter uncertainty which return
control feedback to the stabilization of the system is calculated. The
sensitivity of optimization algorithms to the uncertainties of system
parameters are compared and evaluated. The cost function used was based on the
model and control method of sampling the pump and the combined statements of
speed fluctuation and output functions of the initial cost is presented. In
simulation, the effect of controlling these two methods and Akfa sensitivity to
parameter changes is compared.
:: برچسبها:
current sampling ,
genetic algorithm ,
optimization ,
particle swarm ,
sensitivity ,
مقاله ,
:: بازدید از این مطلب : 75
|
امتیاز مطلب : 0
|
تعداد امتیازدهندگان : 0
|
مجموع امتیاز : 0