Improvement of sensorless vector controlled induction motor drives using a new algorithm for the rotor resistance adaptation

Kouchih, D.; Hachelaf, R.; Boumalha, N.; Tadjine, Mohamed; Boucherit, Mohamed Seghir

doi:10.1109/icosc.2016.7507027

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…Accurate knowledge of machine parameters and open equations for estimates is necessary. On the other hand, closed-loop observatories rely on flexible techniques that require more computational power [6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Speed Observer for Industrial Drives based Induction Motors with Low Complexity

Dabour¹,

Hussien²,

Aboushady³

et al. 2023

Induction Motors - Recent Advances, New Perspectives and Applications

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This chapter presents a simple method to efficiently predict the rotor speed for a sensorless vector control technique applied to induction motors (IMs). The motor is supplied by a Simplified Split-Source Inverter (S3I), which provides dc-boosting and ac-inversion processes during input voltage sag. It also has a wider modulation range and a lower harmonic content than conventional boosting inverters. With this contribution, it is possible to efficiently estimate the rotor position directly without needing a PI controller with fluctuated supply voltage. The proposed strategy can be divided into three parts. The first uses a dual-loop controller to obtain the reference DC-boosted voltage of the SSI and regulate the input current. The second is the suggested observer for speed detection, which is derived from the principles of phase axis relations of the adopted machine currents and the indirect rotor flux orientation control (IRFOC) approach. With a newly developed space vector modulation, the third part will generate the switching pulses of the inverter switches. A complete analysis has been conducted to ensure the observability of the proposed technique. A series of PLECS simulations were conducted to verify the concept. The obtained results validate the proposed strategy with the S3I topology.

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Section: Introductionmentioning

confidence: 99%

Sensorless Speed Observer for Industrial Drives based Induction Motors with Low Complexity

Dabour¹,

Hussien²,

Aboushady³

et al. 2023

Induction Motors - Recent Advances, New Perspectives and Applications

View full text Add to dashboard Cite

show abstract

“…The main challenge for researchers in this hot topic is to implement the whole drive system without any sensors for speed measurement. Thus, sensorless speed control strategies of induction motors have been given great attention nowadays [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…Various methods for the target of sensorless control of induction motors have been outlined which are based on either signal or model algorithms [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. However, these methods have been suffering from many defects such as the complexity [17][18][19][20], the integration issue for the flux prediction process at low speeds, or the need of an observer [18,19] or Kalman filter [7]. The influence of high-frequency interference on the machine behavior is the main drawback of the speed estimation algorithm-based signal injection [8,9].…”

Section: Introductionmentioning

confidence: 99%

Rotor Speed Observer with Extended Current Estimator for Sensorless Control of Induction Motor Drive Systems

Hussien

Liu

et al. 2019

Energies

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The aim of paper is to investigate an efficient sensorless control method with vector-control technique for the induction motor (IM) drive systems. The proposed technique relies on the indirect rotor-field orientation control scheme (IRFOC). All sensorless control techniques are greatly affected by the observation of the speed estimation procedure. So, an efficacy new algorithm for estimating the rotor speed of the adopted machine is proposed. In addition, a simple effective method to estimate the machine rotor currents is suggested. The adopted rotor-speed observer is based on the concept of IRFOC method and the phase-axis relationships of IM. To ensure the capability of the proposed sensorless speed-control system, a simulation model is developed in the MATLAB/Simulink software environment. The robustness of the new control method is analyzed under parameter uncertainty issue. Furthermore, comprehensive experimental results are obtained. The whole obtained results confirm the validity of the proposed observer for sensorless speed control capability. The given results also verify the effectiveness of the suggested sensorless control system-based IRFOC for speed-control drive systems of IM. Moreover, the results assure that the presented rotor-speed observer is effectively robust via any parameter changes.

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A new robust sensorless vector-control strategy for wound-rotor induction motors

Hussien

2020

Australian Journal of Electrical and Electronics Engineering

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Improvement of sensorless vector controlled induction motor drives using a new algorithm for the rotor resistance adaptation

Cited by 6 publications

References 7 publications

Sensorless Speed Observer for Industrial Drives based Induction Motors with Low Complexity

Sensorless Speed Observer for Industrial Drives based Induction Motors with Low Complexity

Rotor Speed Observer with Extended Current Estimator for Sensorless Control of Induction Motor Drive Systems

A new robust sensorless vector-control strategy for wound-rotor induction motors

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