Stator and Rotor Resistance Observers for Induction Motor Drive Using Fuzzy Logic and Artificial Neural Networks

Karanayil, B.; Rahman, M.F.; Grantham, C.

doi:10.1109/tec.2005.853761

Cited by 82 publications

(30 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the quasi steady state operation at medium and high speed range, the torque expression (16) can be further simplified because slip angular frequency is much lower than synchronous frequency and (ω e Т r ) 2 >> 1 is valid, yielding:…”

Section: Torque Ripple During the DC Current Injection Based Rs mentioning

confidence: 99%

“…Alternatively, by the use of intrinsic Pulse Width Modulation (PWM) excitation, the temperature of the stator winding can be estimated by calculating the motor input impedance without the injection of high frequency voltage signal [15]. Finally, the R s estimation can be based on artificial neural network approach [16]. The most of model based R s estimation techniques are specifically designed for low speed operation, in which the Thermal Protection of Vector Controlled IM Drive Based on DC Current Injection stator voltage drop is comparable with back electromotive force (BEMF), thus the R s model information is available.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Thermal Protection of Vector-Controlled IM Drive Based on DC Current Injection

Matić

Gecic

Lekic

et al. 2015

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

A technique for stator-resistance-based thermal protection suitable for a low-cost vector controlled induction machine drive is suggested in this paper. In order to provide accurate stator resistance monitoring at medium and high speeds the dc-signal-injection based method is selected. The main property of the scheme is that small regulated DC current is periodically injected in the stator windings without interrupting the flux and torque control loops. In the proposed scheme inverter nonlinearities are properly compensated and accurate resistance estimation is achieved with minimal level of injected DC current. This results in consistent and controllable torque ripple, which is minimal and constant for any actual stator resistance value. Estimated stator resistance can be also used for control algorithm tuning. The method is implemented in fixed point microprocessor and tested on low cost shaft-sensorless induction machine drive under various operation modes.

show abstract

Section: Torque Ripple During the DC Current Injection Based Rs mentioning

confidence: 99%

mentioning

confidence: 99%

Thermal Protection of Vector-Controlled IM Drive Based on DC Current Injection

Matić

Gecic

Lekic

et al. 2015

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

show abstract

“…In papers [8] - [10] both stator and rotor resistances are estimated, mainly used the online and observer based methods, these methods are complex it bounded the stator current. Fuzzy logic and artificial neural network are also used to estimate the rotor and stator resistance, but in this method proper design of fuzzy rules and the adjustment of the weight require [11] - [14]. Even many optimization methods like genetic algorithm, partial swam optimization methods are also used to estimate the resistance of the induction motor, but all these optimization methods are offline methods [15] - [18].…”

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

“…Extensive simulation results are presented to show the performance of the optimally tuned fuzzy controller. Parameter estimation based on fuzzy logic and neural network [19][20][21][22]. Other methods include estimation based on voltage measurement across open circuit phase winding using special switching techniques, Using recursive least square method and criterion function based [23][24].…”

Section: Introductionmentioning

confidence: 99%

Rotor Resistance Estimation of Vector Controlled Induction Motor Drive using GA/PSO t uned Fuzzy Controller

Chacko¹,

Bhende²,

Jain³

et al. 2016

ijeei

View full text Add to dashboard Cite

Induction motor with indirect field oriented control is preferred for high performance applications due to its excellent dynamic behavior. However, it is sensitive to variations in rotor time constant, especially variation in rotor resistance which needs to be estimated online. Conventionally the model reference adaptive system with fuzzy logic controllers as adaptation is used, which works satisfactorily for one particular operating condition and fails under variable operating condition. Therefore the need arises for a fuzzy controller whose parameters are tuned using evolutionary algorithm. In this paper, the input/output gain and the membership function parameters of the fuzzy system are optimized using genetic algorithm and particle swarm optimization to obtain an optimal designed fuzzy controller for rotor resistance estimation. The system is investigated in MATLAB/Simulink environment. Results shows that the steady state error in estimation of rotor resistance by the proposed controller under stringent operating condition is better with the proposed controller as compared to the conventional trial and error based fuzzy controller.

show abstract

Stator and Rotor Resistance Observers for Induction Motor Drive Using Fuzzy Logic and Artificial Neural Networks

Cited by 82 publications

References 15 publications

Thermal Protection of Vector-Controlled IM Drive Based on DC Current Injection

Thermal Protection of Vector-Controlled IM Drive Based on DC Current Injection

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

Rotor Resistance Estimation of Vector Controlled Induction Motor Drive using GA/PSO t uned Fuzzy Controller

Contact Info

Product

Resources

About