Zero Stator Current Frequency Operation of Speed-Sensorless Induction Motor Drives Using Stator Input Voltage Error for Speed Estimation

Sun, Wei; Liu, Xiaofeng; Jie, Gao; Yu, Yong; Wang, Gaolin; Xu, Dianguo

doi:10.1109/tie.2015.2493143

Cited by 26 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The speed estimation method based on Adaptive Full-order Observer (AFO) from the currents and/or voltages errors, is well recognized in many studies of the speed sensor-less IM drives [14][15][16]. However, the drawback of this technique is its instability when rotor speed is close to zero in the regenerative region, even when the measurement noise and parameter errors are not considered [15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive non-linear high gain observer based sensorless speed estimation of an induction motor

Kadrine

Tir

Malik

et al. 2020

Journal of the Franklin Institute

View full text Add to dashboard Cite

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

show abstract

Section: Introductionmentioning

confidence: 99%

“…However, the drawback of this technique is its instability when rotor speed is close to zero in the regenerative region, even when the measurement noise and parameter errors are not considered [15]. This method also results in an error between the actual and estimated speeds [14].…”

Section: Introductionmentioning

confidence: 99%

Adaptive non-linear high gain observer based sensorless speed estimation of an induction motor

Kadrine

Tir

Malik

et al. 2020

Journal of the Franklin Institute

View full text Add to dashboard Cite

show abstract

“…The effect of the gross error on AFO stability was alleviated by selecting the feedback gains using a scaling factor [28]. To remedy the observability issue of AFO around zero speed without signal injection, a stator voltage error was added to the speed estimator in [29]. AFO with an auxiliary adaptive variable in the observer state matrix was proposed in [30] and compared with previous AFO methods in the regenerating mode.…”

Section: Introductionmentioning

confidence: 99%

A Novel Analytical Approach Using Rough Set and Genetic Algorithm of a Stable Sensorless Induction Motor Drives in the Regenerating Mode

et al. 2020

View full text Add to dashboard Cite

A novel approach for optimized feedback gains of a stable sensorless induction motor (IM) drives at low speeds in the regenerating mode is presented. The proposed approach depends on the rough set (RS) and genetic algorithm (GA) in a cascading construction. The RS is used to obtain the most dominant machine parameters that affect the stability of the sensorless IM drive at very low speeds in the regenerating mode. The parameter's values are randomly selected to investigate their influence on the stability. Then, a reduction is obtained for the most dominant machine parameters affecting the stability. GA is applied to search for the optimal design of the observer feedback gains under the dominant parameter deviation. The proposed RS theory and GA guarantees a stable speed estimate and efficient sensorless IM drive at very low speeds in the regenerating mode. Theoretical analysis, design procedure, and simulation work of the proposed approach are presented. A sensorless IM drive is executed in the laboratory using the digital signal processor (DSP)-DS1104 control board. Extensive results in the different operating conditions to verify the efficacy of the proposed approach are presented and compared with previous works.

show abstract

“…These uncertainties are usually consisting of unmodelled parts of the system, electrical parameters variation, and external load disturbances. Therefore, many studies have been conducted on motor drives to maintain performance under these uncertain disturbances [2,[7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…They do not directly consider the uncertainty of the model, and cannot completely eliminate the uncertain factors in the system. In fact, in the IM drive system, the resistances of the stator and rotor increase with the temperature of the motor, and the inductance and magnetic flux also change with the speed of the motor [19]. These factors will affect the accurate control of the motor.…”

Section: Introductionmentioning

confidence: 99%

Backstepping sliding mode control of induction motor based on disturbance observer

Chen

2020

IET Electric Power Applications

View full text Add to dashboard Cite

In this study, combining backstepping sliding mode (BSM) and disturbance observer‐based control (DOBC), a state feedback controller is designed to regulate the speed of induction motor (IM). First, a feedforward compensation method is proposed based on the rotor flux observer and BSM control to counteract the mismatched lumped disturbances. Then, a disturbance observer is established to estimate the overall effect of possible modelling inaccuracy, load disturbance and motor parameters variation in the IM model. Compared with the conventional vector controller, the proposed controller solves the problems of modelling imprecise, unknown load injection and parameter variation, and realises the speed tracking of IM with good performance. Finally, experiments are presented to verify the effectiveness and practicability of the proposed control strategy.

show abstract

Zero Stator Current Frequency Operation of Speed-Sensorless Induction Motor Drives Using Stator Input Voltage Error for Speed Estimation

Cited by 26 publications

References 28 publications

Adaptive non-linear high gain observer based sensorless speed estimation of an induction motor

Adaptive non-linear high gain observer based sensorless speed estimation of an induction motor

A Novel Analytical Approach Using Rough Set and Genetic Algorithm of a Stable Sensorless Induction Motor Drives in the Regenerating Mode

Backstepping sliding mode control of induction motor based on disturbance observer

Contact Info

Product

Resources

About