Torque ripples improvement of direct torque controlled five-phase induction motor drive using backstepping control

Echeikh, Hamdi; Trabelsi, Ramzi; Kesraoui, Hichem; Iqbal, Atif; Mimouni, Mohamed Faouzi

doi:10.11591/ijpeds.v11.i1.pp64-74

Cited by 9 publications

(11 citation statements)

References 23 publications

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“…The aim of this strategy was to convert the nonlinear system into the linear system by involving some of the algebraically transformation. On the other hand, the combination of DTC control and non-linear control was also developed in multiphase named as backstepping control in [89].…”

Section: Intelligent/digital Controlmentioning

confidence: 99%

A review of direct torque control development in various multilevel inverter applications

Tarusan¹,

Jidin²,

Jamil³

et al. 2020

IJPEDS

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Multilevel inverter (MLI) is commonly utilized in direct torque control (DTC) for medium and high power applications. The additional voltage vectors generated by MLI can be manipulated to achieve the optimal selection for the inverter switching states in the DTC control systems. Previously, a review of DTC which focused more on the two-level inverter for induction motor as well as a review of the multilevel converter in industrial applications had been implemented individually. However, a review on DTC development in MLI was insufficient in both papers. Therefore, this paper aims to give a comprehensive review of the improvement of DTC via various MLI applications. It is reviewed according to the applicable multilevel inverter topologies in the DTC system. The comparison of DTC by using conventional and multilevel inverter is synthesized. Thus, this review paper will hopefully lead researchers in further research activities actively.

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Section: Intelligent/digital Controlmentioning

confidence: 99%

A review of direct torque control development in various multilevel inverter applications

Tarusan¹,

Jidin²,

Jamil³

et al. 2020

IJPEDS

View full text Add to dashboard Cite

show abstract

“…Numerous methods have been employed to detect the different types of faults in an IM [2][3][4][5]. These [6][7][8][9][10] apply to the current spectrum, vibration analysis, and other techniques to detect the different faults in the motors. Another study reported the impacts of motor and simulated motors, which were examined using motor current signature analysis (MCSA) and also through observation of magnetic flux density outside the motor [11].…”

Section: Introductionmentioning

confidence: 99%

Detection of internal and external faults of single-phase induction motor using current signature

AL-Yoonus

Alyozbaky

2021

IJECE

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The main aim of this work is to analyze the input current waveform for a single-phase induction capacitor-run motor (SIMCR) to detect the faults. Internal and external faults were applied to the SIMCR and the current was measured. An armature (broken rotor bar) and bearing faults were applied to the SIMCR. A microcontroller was used to record the motor current signal and MATLAB software was used to analyze it with the different types of fault with varying load operations. Various values of the running capacitor were used to investigate the effect of these values on the wave-current shape. Total harmonic distortion (THD) for the voltage and current was measured. A deep demonstration of the experimental results was also provided for a better understanding of the mechanisms of bearing and armature faults (broken rotor bars) and the vibration was recorded. Spectral and power analyses revealed the difference in total harmonic distortion. The proposed method in this paper can be used in various industrial applications and this technique is quite cheap and helps most of the researchers and very effectual.

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“…Extended Kalman filter EKF has been proposed in [21] as a solution for better flux estimation. These approaches contain some inherent disadvantages such as highly computational processes [20], (v) artificial intelligent (AI) methods like artificial neural networks (ANNs) and fuzzy logic (FL) [22]- [24]. These techniques have a great attention in the last decades in many fields especially pattern recognition and control systems since they can deal with the complex or non-linear process without the needing for the relations between the input and output [25].…”

Section: Introductionmentioning

confidence: 99%

Intelligent control of induction motor without speed sensor

Elgohary

Gouda

Eskander

2021

IJPEDS

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This paper presents a proposed sensorless algorithm for induction motor(IM)speed control based on artificial neural networks (ANNs).The Indirect rotor field oriented (IRFO) technique is applied to control the motor. It is designed based on the proportional-integral (PI) controller. The particle swarm optimization (PSO) algorithm is used as a good solution for the problems associated with the design of the proportional-integral (PI) controller gains.The PSO is compared with the conventional methods. The proposed controller (PSO-PI) is then integrated with the artificial neural network(ANN) speed estimator. The MATLAB/Simulink is used for the simulation of the system. The obtained simulation results for the proposed technique are very close to the actual ones.

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Torque ripples improvement of direct torque controlled five-phase induction motor drive using backstepping control

Cited by 9 publications

References 23 publications

A review of direct torque control development in various multilevel inverter applications

A review of direct torque control development in various multilevel inverter applications

Detection of internal and external faults of single-phase induction motor using current signature

Intelligent control of induction motor without speed sensor

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