Induction motor drive's parameters identification using genetic algorithms

Tkachuk, Roman Yu.; Glazyrin, Alexander S.; Polichshuk, Vladimir I.

doi:10.1109/ifost.2012.6357819

Cited by 9 publications

(6 citation statements)

References 2 publications

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“…However the creation aim of the computer system allowing to calculate in real time the current values of parameters and variables of a IM condition inaccessible for measurement demands the same way to development of special algorithms for dynamic IM identification having low sensitivity to a hum level and their statistical characteristics, and providing computing processes stability of estimation.. The theoretical basis for the solution of these tasks is given in [7][8][9][10][11][12][13].…”

Section: Methodsmentioning

confidence: 99%

The Computer System for Monitoring of Induction Motors Condition of Mining Machinery

et al. 2019

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The possibility of carrying out monitoring of parameters and variables of the induction electric motor (IM) working as a part of the electric mining machinery drive is considered. Monitoring is carried out on the working inventory in real time by means of the computer system on the basis of the IM mathematical model, mathematical estimation methods and also information which is contained in easily measured phase tension and IM stator currents. As a result IM indicators are defined difficult or cannot be measured in the mining machinery operation course. These are the active and induced windings resistances of a stator and a rotor, a magnetic linkage, an angular frequency of a rotor rotation and the electromagnetic moment. Algorithms of dynamic IM identification and the software are developed for carrying out monitoring. Theoretical provisions and conclusions are confirmed with results of the pilot studies. Information received during monitoring can be used for perfecting of the electric drive.

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Section: Methodsmentioning

confidence: 99%

The Computer System for Monitoring of Induction Motors Condition of Mining Machinery

et al. 2019

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“…In some cases, it is problematic or uneconomical to mount a speed sensor on the motor shaft, therefore sensorless control systems of asynchronous electric drive are used [1]. Thyristor voltage regulator and induction motor may be placed at some distance from each other, therefore the efficiency and reliability will depend on the distance between the actuator and the sensor of such systems.…”

Section: Electrical Engineering Energy Mechanical Engineering -Eem 2014mentioning

confidence: 99%

Reasoning of the Use of TVR-IM Electric Drives of Closed-Loop Type by the Angular Velocity Observer for Solving Technological Problems

Тимошкин

Glazyrin

Kozlova

2014

AMM

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“…Error in the statement of the operator A is affected on the fulfillment of the correctness conditions and methods of solving inverse problems. At the same time, it is impossible to completely get rid of the noise component [5][6][7]. Taking into account the noise of equation ( 1), it looks as follows:…”

Section: Introductionmentioning

confidence: 99%

Influence of Design Methods a Discrete Model of Separately Excited DC Motor on Parameters Estimation

Vajda¹,

Glazyrin²,

Ustinova³

et al. 2018

ACTA POLYTECH HUNG

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The authors have developed the methods of preparing the difference schemes required for dynamic identification of the parameters of a DC motor as an object of the electric drives with control system during idling start-up. A system of differential equations describing the separately excited DC motor is reduced to the system of difference equations for constructing the discrete model. The authors have used three methods: direct difference, bilinear transformation method and multipoint approximation for writing the difference equations system. The estimations of the parameters of the discrete model based on the linear algebraic equations system applied this way were obtained by the matrix method. Comparing the estimates obtained the authors detected the influence of the methods of constructing the object discrete model on the error in the parameters' estimations obtained.

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Induction motor drive's parameters identification using genetic algorithms

Cited by 9 publications

References 2 publications

The Computer System for Monitoring of Induction Motors Condition of Mining Machinery

The Computer System for Monitoring of Induction Motors Condition of Mining Machinery

Reasoning of the Use of TVR-IM Electric Drives of Closed-Loop Type by the Angular Velocity Observer for Solving Technological Problems

Influence of Design Methods a Discrete Model of Separately Excited DC Motor on Parameters Estimation

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