Estimating the Parameters of a Three-Phase Induction Motor using the Vortex Search Algorithm

Montano, Jhon; Garzón, Oscar Daniel; Herrera-Jaramillo, Diego Alejandro; Montoya, Oscar Danilo; Andrade, Fabio; Tobon, Andres

doi:10.1007/s40998-023-00673-y

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…Improvement in the energy efficiency of the drive systems is of great concern, where a minute improvement in energy efficiency reduces power loss and fuel burn [1]. Inverter-fed induction motors are extensively used for speed control where the stability of the drive is of more significant concern and is to be addressed together with the solutions to reduce energy consumption [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Novel Advanced Artificial Neural Network-Based Online Stator and Rotor Resistance Estimator for Vector-Controlled Speed Sensorless Induction Motor Drives

Kanakabettu,

Irvathoor,

Saralaya

et al. 2024

Energies

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This paper presents a new approach for the online estimation of stator and rotor resistance of induction motors for speed sensorless vector-controlled drives, using feed-forward artificial neural networks with advanced adaptive learning rates. For the rotor resistance estimation, a neural network model based on rotor speed and stator currents is developed. The rotor flux linkages acquired from the voltage model are compared with the neural network model. The feed-forward neural network employs an adaptive learning rate as the function of the obtained error during training for quick convergence with minimal estimation error. A two-layered neural network model based on the stator voltage and current equations is developed for the stator resistance estimation. The d-q axes stator currents obtained from the developed model are compared with the acquired d-q axes stator currents. For the fast convergence with minimal estimation error, an adaptive learning rate as the function of error is adopted during training. Furthermore, the neural network estimates the induction motor’s speed. The simulation and experimental results justify that the developed algorithms track variation in the resistances quickly and precisely along with the speed as compared with the conventional constant learning rate algorithm, leading to reliable operation of the drive.

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Section: Introductionmentioning

confidence: 99%

Novel Advanced Artificial Neural Network-Based Online Stator and Rotor Resistance Estimator for Vector-Controlled Speed Sensorless Induction Motor Drives

Kanakabettu,

Irvathoor,

Saralaya

et al. 2024

Energies

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Developing a Program for Calculating the Equivalent Circuit Pa-Rameters of a Three-Phase Asynchronous Electric Motor

Dzyuin,

Dmitrieva

2024

Automation and Modeling in Design and Management

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The article is devoted to developing a program for calculating the parameters of a T-shaped equivalent circuit of three-phase asynchronous electric motors. The relevance of this work is due to the need to obtain reliable results of computer simulation modelling of electric drive systems in software packages. The aim of the study is to implement in a convenient software interface an analytical technique for calculating the parameters of an asynchronous motor equivalent circuit with minimal deviations from the catalogue data. For the software calculation of the equivalent circuit parameters the paper considers analytical approximation and iterative counting techniques, since they do not require experiments on industrial electrical equipment. A comparative analysis of such techniques is performed using the example of a three-phase asynchronous motor brand BA280S4 with a power of 110 kW. The results of the compar-ative analysis show that the highest reliability of the mechanical and electromechanical characteristics is achieved in the case of using the iterative counting technique with minimizing the objective function of the sum of the weighted squares of the deviations of the control point values from the catalogue data. The authors implement the program for calculating the equivalent circuit parameters according to the selected calculation method in the Embarcadero Delphi environment. The reliable values of the electric motor parameters calculated by the program will allow for computer to model electric drive systems that best matches real objects.

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Estimating the Parameters of a Three-Phase Induction Motor using the Vortex Search Algorithm

Cited by 2 publications

References 29 publications

Novel Advanced Artificial Neural Network-Based Online Stator and Rotor Resistance Estimator for Vector-Controlled Speed Sensorless Induction Motor Drives

Novel Advanced Artificial Neural Network-Based Online Stator and Rotor Resistance Estimator for Vector-Controlled Speed Sensorless Induction Motor Drives

Developing a Program for Calculating the Equivalent Circuit Pa-Rameters of a Three-Phase Asynchronous Electric Motor

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