Rotor flux-MRAS based speed sensorless non-linear adaptive control of induction motor drive for electric vehicles

Rind, Saqib Jamshed; Ren, Yaxing; Shi, Kai; Jiang, Lin; Tufail, Muhammad

doi:10.1109/upec.2015.7339869

Cited by 13 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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].…”

Section: Introductionmentioning

confidence: 99%

“…The influence of high-frequency interference on the machine behavior is the main drawback of the speed estimation algorithm-based signal injection [8,9]. The sensorless control strategy with a model-based estimation algorithm, which is known as model reference adaptive system (MRAS) observer, has reflected the best performance [10][11][12][13][14][15][16] in mid and high-speed operating regions. However, the accuracy of these control methods is inherently decreased under the operation of low-speed narrow to zero because of the integration issue for flux calculations [19].…”

Section: Introductionmentioning

confidence: 99%

“…However, the accuracy of these control methods is inherently decreased under the operation of low-speed narrow to zero because of the integration issue for flux calculations [19]. Furthermore, the model-based sensorless methods have many other defects such as the high dependency on the machine parameters which directly affect the accuracy of the estimation procedure and the large oscillations in transient operation [10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Hussien

Liu

et al. 2019

Energies

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Hussien

Liu

et al. 2019

Energies

View full text Add to dashboard Cite

show abstract

“…To address the problems related to the parameter variation in sensorless speed estimation of IM drive, several techniques are reported in the literature [6–27]. The speed estimation by observer‐based methods as reported in [6–10] requires the information of all the machine parameters, hence, is prone to their variations.…”

Section: Introductionmentioning

confidence: 99%

Eigenvalue‐based relative parameter sensitivity analysis for optimised performance of sensorless induction motor drives

Kumar

Das

2016

IET Electric Power Applications

View full text Add to dashboard Cite

The formulation of a suitable control scheme for induction motor (IM) drive capable of working in a wide speed range including low and zero speed regions is a challenging task as the system parameters are prone to vary significantly due to temperature rise, skin effect and associated factors. The present study proposes eigenvalue sensitivity-based generalised analytic approach for identifying the dominant motor parameter(s) which affect(s) the estimated speed most severely in the speed sensorless IM drive system. Once such parameter(s) is/are identified, a compensation scheme can be adopted for the same without worrying to the effect of the other motor parameters on the estimated speed. This not only reduce(s) the drive's complexity but also improves the reliability of the overall system. To validate the proposed approach, two different model reference adaptive systems are considered for the speed sensorless IM drive. All the relevant study is done in MATLAB/Simulink. The experimental results as obtained by a dSPACE-1104based laboratory prototype also justify the analysis.

show abstract

Implementation of reactive power‐based MRAS for sensorless speed control of brushless doubly fed reluctance motor drive

Kiran

Das

2018

IET Power Electronics

View full text Add to dashboard Cite

The present work introduces the concept of classical reactive power (Q)-based model reference adaptive system (MRAS) for the speed estimation and control of low-cost BDFR motor drive. The reasons behind such choice for this drive's control are: (i) MRAS-based controllers can inherently take care of the machine parameter variations which had been a challenging issue with the other available sensorless speed estimation strategies and (ii) the employment of Q as a functional candidate inevitably makes the formulation immune to the variations in stator resistance. The experimental assessment, in this respect, confirms these claims. Furthermore, the analytical validation of Popov's hyperstability criteria on the proposed controller, confirms the drive's overall stability within the investigated speed control range. The speed control performance is examined in MATLAB/Simulink. The simulation results are further validated by a real-time implementation using dSPACE-1103based 1.6 kW BDFR machine prototype.

show abstract

Rotor flux-MRAS based speed sensorless non-linear adaptive control of induction motor drive for electric vehicles

Cited by 13 publications

References 15 publications

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

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

Eigenvalue‐based relative parameter sensitivity analysis for optimised performance of sensorless induction motor drives

Implementation of reactive power‐based MRAS for sensorless speed control of brushless doubly fed reluctance motor drive

Contact Info

Product

Resources

About