Determination of induction motor parameters with differential evolution algorithm

Arslan, Levent M.; Çunkaş, Mehmet; Sağ, Tahir

doi:10.1007/s00521-011-0612-8

Cited by 20 publications

(13 citation statements)

References 19 publications

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“…When the standard deviation values are examined, the DEA and CSS algorithm have the lowest standard deviation at 31 operations. The equivalent circuit parameters and average percent error values obtained by the DEA and GA in [6] are given comparatively in Table 5, with the values found by the CSS algorithm in this study. The error value found by the CSS is seen to converge to the average error value found by the DEA method used in [6]; however, it is seen to converge with a better result than that found by the GA.…”

Section: Problem Formulationmentioning

confidence: 74%

“…The known equivalent circuit parameters and slip-torque characteristics of wound-rotor motor were obtained from [25] and the required values were taken from these characteristics. For the squirrelcage motor, the equivalent circuit parameters were obtained from [6]. The reason for using the literature data is that the catalog values given by the manufacturer cannot model the motor properly.…”

Section: Resultsmentioning

confidence: 99%

“…In the implementation of the techniques, 2 different induction motors, the squirrel-cage rotor and wound-rotor, are used. The 30-kW wound-rotor induction motor parameters are taken from [25] and the 37-kW squirrel-cage induction motor parameters are taken from [6].…”

Section: Introductionmentioning

confidence: 99%

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Induction motor parameter estimation using metaheuristic methods

Çanakoğlu¹,

Yetgin²,

Temurtaş³

et al. 2014

Turk J Elec Eng & Comp Sci

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Abstract:The steady-state equivalent circuit parameters of an induction motor can be estimated using the operation characteristics that are provided by manufacturers. The characteristics of the motor used in estimation methods are the starting, maximum, and nominal torque values; the power factor; and efficiency. The operation characteristics of a motor given in data sheets are generally based on design parameters and are not suitable with real values. For this reason, in this paper, the data used in the parameter estimation for induction motors are taken from the literature.Using an optimization method for parameter estimation is useful for comparing the manufacturer values and values at the end of estimation, as well as minimizing the error in between. There are many methods in the literature for the parameter estimation of induction motors. In this study, the estimation is made using the charged system search (CSS), differential evolution algorithm (DEA), particle swarm optimization, and genetic algorithm optimization techniques. The CSS algorithm is first applied for estimation of the parameters of an induction motor. The results obtained from all of the methods show that the CSS algorithm is suitable with the DEA. From the obtained results, it is understood that an exact approach can be made to equivalent circuit parameters in case the values given by the manufacturer model the motor properly.

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Section: Problem Formulationmentioning

confidence: 74%

Section: Resultsmentioning

confidence: 99%

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Induction motor parameter estimation using metaheuristic methods

Çanakoğlu¹,

Yetgin²,

Temurtaş³

et al. 2014

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

“…Magnetization reactance is high in that way.  Simplified equivalent circuit which was obtained when excitation arm was put in the access of equivalent circuit is given in Figure 2 (Arslan et al, 2012). Where, I is the current that the motor draws from the network.…”

Section: Induction Motorsmentioning

confidence: 99%

“…The techniques based on evolution principles are used to make up the deficiencies of commonly known optimization methods (Arslan et al, 2012), (Price et al, 2006). Recently, the term evolutionary computing representing all of these principles-based techniques has begun to be widely used.…”

Section: Differential Evolution Algorithm (Dea)mentioning

confidence: 99%

Determination of Equivalent Circuit Parameters of Induction Motors by Using Heuristic Algorithms

Selek¹,

Terzioğlu²

2017

Scitech

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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-linear model 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 driving technique. 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 to investigate and determine the changes in parameters and performance. Equivalent circuit parameters were determined on two IMs with 2.2kW and 5.5kW. In this study, it was seen that Differential Evolution Algorithm (DEA) and Particle Swarm Optimization (PSO) determined electrical equivalent circuit parameters of IM with minimum 0,07% error and minimum 0,28% error, respectively.

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Fuzzy logic-based induction motor protection system

Uyar

Çunkaş

2012

Neural Comput & Applic

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Determination of induction motor parameters with differential evolution algorithm

Cited by 20 publications

References 19 publications

Induction motor parameter estimation using metaheuristic methods

Induction motor parameter estimation using metaheuristic methods

Determination of Equivalent Circuit Parameters of Induction Motors by Using Heuristic Algorithms

Fuzzy logic-based induction motor protection system

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