Scalar control of an induction motor using a neural sensorless technique

Santos, Tiago Henrique dos; Goedtel, Alessandro; Silva, Sérgio Augusto Oliveira da; Suetake, Marcelo

doi:10.1016/j.epsr.2013.11.020

Cited by 68 publications

(41 citation statements)

References 19 publications

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“…These machines are characterized by their low acquisition and maintenance costs, adaptability to different mechanical loads, and robustness in harsh working environments. They consume more than 60% of the electricity in the industrial sector [1] and are the primary means of transforming electrical energy into mechanical driving [2].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors

Palácios

Silva

Goedtel

et al. 2015

Electric Power Systems Research

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112

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Section: Introductionmentioning

confidence: 99%

A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors

Palácios

Silva

Goedtel

et al. 2015

Electric Power Systems Research

Self Cite

112

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“…Moreover, the maintenance of IMs is easy due to its simple structure, low cost, high efficiency and reliability [4]- [7]. In the past, DC motor drives were employed with speed controls due to their simple design in regulating flux as well as torque.…”

Section: Introductionmentioning

confidence: 99%

Optimal design selection and analysis of single sided linear induction motor

Issac¹,

Poorani²

2018

IJET

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This paper investigates the design and implementation of single-sided linear induction motor towards determining the end effect intensity, reduces the primary weight of the system and improves the efficiency by multi-objective optimisation approach. This optimisation technique is a combination of genetic with cuckoo search (GCS) algorithm is introduced to improvise the efficiency and power factor, as well as to minimize the end effect intensity, simultaneously. The performance of the designed novel approach will be validated based on the measure of different parameters such as Efficiency, Power factor, Maximum thrust slip, Aluminum thickness, Primary width/pole pitch, Primary current density and the braking force due to the end effect. Finally, to validate the optimisation results, 3D finite element method is employed and compared the results with the existing technique like GA, PSO, and Cuckoo search.

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“…It consists essentially in maintaining constant the voltage to frequency (V / f ) relationship, which also ends up making the maximum magnetic flux in the air gap constant. However, its dynamic performance is limited, especially when operating in regions of low speed (Bose 2002;Santos et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Differential Evolution Applied to DTC Drive for Three-Phase Induction Motors Using an Adaptive State Observer

Costa

Angélico

Goedtel

et al. 2015

J Control Autom Electr Syst

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This paper describes an application of the metaheuristic differential evolution in the drive of three-phase induction motors based on direct torque control and employs a Luenberger observer to estimate the stator flux linkage and rotor speed. In this context, the differential evolution is applied to adjust the gains of the controllers involved in the direct torque control and speed observer estimation loop, as well as the observer matrix. Firstly a proportional-integral controller with anti-windup is considered in speed control loop, whose gains are adjusted empirically and optimally by DE. Furthermore, differential evolution is also considered for optimizing the Luenberger observer parameters for stator current and flux, as well as rotor speed estimation. Simulation tests are presented in order to prove the effectiveness of the proposed method.

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Scalar control of an induction motor using a neural sensorless technique

Cited by 68 publications

References 19 publications

A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors

A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors

Optimal design selection and analysis of single sided linear induction motor

Differential Evolution Applied to DTC Drive for Three-Phase Induction Motors Using an Adaptive State Observer

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