Sliding Mode Observer for Induction Motor Control

Dong, Chau Si Thien; Brandštetter, Pavel; Vo, Huu Hau; Duy, Vo Hoang

doi:10.1007/978-3-319-27247-4_28

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…There are four subsystems in this model out of which one is the vector control block, the interior of this subsystem is shown in figure 3 from this simulink block generated the control pulse for the inverter. The second one is the subsystem1 shown in figure 4 from this the sliding surface for the sliding mode controller is generated, according to this sliding surface the two control signal u 1 and u 2 by using equation (20) form, the simulink block of this is shown in figure 5. These control signals signifies the estimated values of stator and rotor resistance as shown by the equation (6).…”

Section: Simulation and Resultsmentioning

confidence: 99%

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

Tak¹,

Kumar²,

Rajpurohit³

2017

JESTR

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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.

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Section: Simulation and Resultsmentioning

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

show abstract

“…Methods based on the typical machine model, such as MRAS techniques, can be applied to estimate the virtual rotor speed [33][34][35][36]. Furthermore, the sliding mode (SMO) method [37][38][39][40], which is less affected by external noise and the accuracy of machine parameters, is also a practical choice for speed estimation [40] in this strategy. On the other hand, the proper algorithms can be applied to the stator current estimator to generate the virtual currents (i Sαest , i Sβest ) provided to the FOC control loop [41][42][43].…”

Section: Ftc Function Using the Typical Foc Strategymentioning

confidence: 99%

Sensor Fault Diagnosis Method Based on Rotor Slip Applied to Induction Motor Drive

Tran

Kuchař

Sobek

et al. 2022

Sensors

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A novel diagnosis method based on the rotor slip is proposed in the paper to correctly detect current and speed sensor failures during the induction motor drive (IMD) operation. In order to enhance reliability and avoid confusion in the diagnosis algorithm due to the influence of measured signal quality, each fault type is determined in a priority order defined by the diagnosis method. Based on the features of the IMD applying the field-oriented control (FOC) technique, an innovative model uses the measured currents and reference speed as the input signals to estimate the rotor slip for the current sensor fault detection. After verifying the quality of the feedback of the current signals, a speed sensor fault function is continued, and performs according to relations among the reference speed, estimated speed based on the sliding mode method, and measured rotor speeds. Finally, the estimated quantities are selected to replace the wrong measured current or speed signals. The feasibility of the proposed approach is verified by simulations using Matlab-Simulink software as well as by practical experiments using an IMD prototype with a rated power of 2.2 kW and a DSC-TMS320F28335-based control system. The obtained simulation and experimental results demonstrated the feasibility, effectiveness, and reliability of the proposed diagnosis technique in detecting sensor failures and maintaining the stable operation of the IMD.

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Adaptive Sliding Mode Controller for Induction Motor

Dong

Brandštetter

et al. 2016

AETA 2016: Recent Advances in Electrical Engineering and Related Sciences

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Sliding Mode Observer for Induction Motor Control

Cited by 6 publications

References 8 publications

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

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

Sensor Fault Diagnosis Method Based on Rotor Slip Applied to Induction Motor Drive

Adaptive Sliding Mode Controller for Induction Motor

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