A review of parameter sensitivity and adaptation in indirect vector controlled induction motor drive systems

Krishnan, R.; Bharadwaj, A.S.

doi:10.1109/pesc.1990.131237

Cited by 48 publications

(36 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DC motors were traditionally used for variable speed drives applications even though the induction machine has some superior characteristics such as simple construction, reliability, ruggedness, high efficiency and low cost [9] because of the excellent torque and speed control of the DC motors. In case of a separately excited DC motor, the commutator makes the armature flux perpendicular (or orthogonal) to the field flux regardless of the speed of rotation, so the flux and torque can be controlled independently by the field and armature current respectively.…”

Section: Vector Control In Ac Drivesmentioning

confidence: 99%

See 1 more Smart Citation

Avoiding Regeneration with a Matrix Converter Drive

Imayavaramban

Wheeler

2007

2007 IEEE Power Electronics Specialists Conference

View full text Add to dashboard Cite

Section: Vector Control In Ac Drivesmentioning

confidence: 99%

“…• Direct Vector Control [58] • Indirect Vector Control From these measurements the rotor flux linkages (Ψ rα , Ψ rβ ) can be calculated, as shown in equations 3.17 and 3.18 respectively. Rotor flux linkages are referred to the stator stationary frame (i sα , i sβ ), as explained in section 3.3.2.…”

Section: The Rotor Flux Angle (λ)mentioning

confidence: 99%

Avoiding Regeneration with a Matrix Converter Drive

Imayavaramban

Wheeler

2007

2007 IEEE Power Electronics Specialists Conference

View full text Add to dashboard Cite

“…The rotor and stator resistance of induction motor vary with the temperature variation due to motor heating, many researchers develop an algorithm to predict the stator resistance [1] - [3] by using the microcontroller and online estimation but these are unstable in low speed range or the regenerative mode of the electric drives. Estimation of rotor resistance of the induction motor is important because strongly influences the speed of the induction motor.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Rotor and Stator Resistance for Induction Motor Drives using Second order of Sliding Mode Controller

Tak¹,

Kumar²,

Rajpurohit³

2017

JESTR

View full text Add to dashboard Cite

The continues operation of vector controlled induction motor drives faces the problem of the stator and rotor resistance variation due to saturation, skin effect or in temperature variations. These resistance variations affect the controller performance. This paper illustrates about a new closed loop approach for estimation followed by compensation of the stator and rotor resistance of induction motor by using the second order sliding mode controller. The motor resistances estimated by online and the error between the actual and desired state variables of the induction motor track the sliding surface, the proposed method are based on the rigorous Lyapunov stability criteria. The simulation results show that the high frequency variation in the output waveform reduces as compared to the classical sliding mode controller and the mathematical analysis is simple to reduce the complexity faces in the higher order controller. For the estimation of the control variables of proposed algorithm only current measurement is needed and the controller is independent of the unknown parameter variation as the property of the sliding mode controller. The proposed method has been analyzed and verified with the help of Matlab/Simulink.

show abstract

“…In addition, rotor resistance can change significantly with rotor frequency due to skew/proximity effect in machines with double-cage and deep-bar rotors. The problem related to stator and rotor resistance adaptation has been investigated by various authors [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Identification of Induction Motor Parameters in Industrial Drives with Artificial Neural Networks

Karanayil

Rahman

Grantham

2009

Advances in Fuzzy Systems

View full text Add to dashboard Cite

This paper presents a new method of online estimation of the stator and rotor resistance of the induction motor in the indirect vector-controlled drive, with artificial neural networks. The back propagation algorithm is used for training of the neural networks. The error between the rotor flux linkages based on a neural network model and a voltage model is back propagated to adjust the weights of the neural network model for the rotor resistance estimation. For the stator resistance estimation, the error between the measured stator current and the estimated stator current using neural network is back propagated to adjust the weights of the neural network. The performance of the stator and rotor resistance estimators and torque and flux responses of the drive, together with these estimators, is investigated with the help of simulations for variations in the stator and rotor resistance from their nominal values. Both types of resistance are estimated experimentally, using the proposed neural network in a vector-controlled induction motor drive. Data on tracking performances of these estimators are presented. With this approach, the rotor resistance estimation was found to be insensitive to the stator resistance variations both in simulation and experiment.

show abstract

A review of parameter sensitivity and adaptation in indirect vector controlled induction motor drive systems

Cited by 48 publications

References 16 publications

Avoiding Regeneration with a Matrix Converter Drive

Avoiding Regeneration with a Matrix Converter Drive

Estimation of Rotor and Stator Resistance for Induction Motor Drives using Second order of Sliding Mode Controller

Identification of Induction Motor Parameters in Industrial Drives with Artificial Neural Networks

Contact Info

Product

Resources

About