Asenkron Motorların Eşdeğer Devre Parametrelerinin Sezgisel Algoritmalar Kullanılarak Belirlenmesi

Asenkron motorlar basit, ekonomik ve sağlam olmaları, bakım gerektirmemeleri ve her türlü ortam

Anahtar Kelimeler:

Asenkron motor, Parçacık sürü pptimizasyonu, Diferansiyel evrim algoritması, Asenkron motorun eşdeğer devre parametreleri

DETERMINATION OF EQUIVALENT CIRCUIT PARAMETERS OF INDUCTION MOTORS BY USING HEURISTIC ALGORITHMS

Induction motors (IMs) are commonly used in industry due to the fact that they are simple,economic, durable, maintenance-free and they can run in every environmental conditions. Non-linearmodel and time varying parameters of IMs make it quite difficult to develop their mathematical models.In high performance applications, it is necessary to determine these parameters that affect drivingtechnique. In this study, when induction motor (IM) was started with continuous and discrete signals,the effects on the motor equivalent circuit parameters of these operating states were investigated.Differential Evolution Algorithm (DEA) and Particle Swarm Optimization (PSO) were used toinvestigate and determine the changes in parameters and performance. Equivalent circuit parameterswere determined on two IMs with 2.2kW and 5.5kW. In this study, it was seen that DifferentialEvolution Algorithm (DEA) and Particle Swarm Optimization (PSO) determined electrical equivalentcircuit parameters of IM with minimum 0,07% error and minimum 0,28% error, respectively.

Keywords:

Induction motor, Particle swarm optimization, Differential evolution algorithm, Equivalent circuit parameters of induction motor,

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