A field-oriented control (FOC) method using the virtual currents for the induction motor drive

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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“…By applying (10) to the dynamic modeling, we can obtain the characteristic control equations in the [x, y] coordinate system [27], as below:…”

Section: Mathematical Modeling Of the Induction Motormentioning

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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“…When the measured signals are correct, they will be transferred to the FOC loop for speed control. If the sensor fails, faulty measured signals are rejected and replaced with estimated speed [ 16 , 17 , 18 , 19 , 20 ] and virtual currents [ 21 , 22 , 23 , 24 , 25 ]. The total failure states of the sensors are simulated to evaluate the effectiveness of the proposed technique.…”

Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Control Based on Current Space Vectors against Total Sensor Failures

Tran,

Kuchar,

Sotola

et al. 2024

Sensors

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This paper proposes a fault-tolerant control (FTC) strategy using the current space vectors to diagnose sensor failures and enhance the sustained operation of a field-oriented (FO) controlled induction motor drive (IMD). Three space vectors are established for the sensor fault diagnosis technique, including one converted from the measured currents and the other two calculated from the current estimation technique, respectively, measured and with reference speeds. A mixed mathematical model using three space vectors and their components is proposed to accurately determine the fault condition of each sensor in the motor drive. After determining the operating status of each sensor, if the sensor signal is in good condition, the feedback signal to the controller will be the measured signal; otherwise, the estimated signal will be used instead of the failed signal. Failure states of the various sensors were simulated to check the effectiveness of the proposed technique in the Matlab/Simulink environment. The simulation results are positive: the IMD system applying the proposed FTC technique accurately detected the failed sensor and maintained stability during the operation.

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“…After the fault diagnosis process determines that the sensor signal problem has occurred, reconfiguration is triggered to use the proper estimated signals supplied to the FO control loop instead of the measurement signals. All appropriate sensorless techniques can be applied to provide an estimated signal for the IMD FO control method, such as neural network [23], MRAS [24], [25], and sliding mode observer (SMO) [26], for the estimated speed, or direct estimators [27], [28], Luenberger observer [29], [30], for virtual currents.…”

Section: Introductionmentioning

confidence: 99%

An extended sensor fault tolerant control method applied to three-phase induction motor drives

Huu Nguyen,

Tran

2024

Bulletin EEI

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This research presents a fault tolerant (FT) control method for three-phase induction motor drives (IMDs) against sensor failures in the operating process. In this paper, an IMD applied the field oriented (FO) control for the speed and torque control is used to study the operation under sensor fault conditions. A fault detection isolation function is integrated into the FO control loop as an intermediary component to evaluate the quality of the measured signals of the sensors and provide proper signals for speed control of the drive system. A combined method of a comparison algorithm and a third difference operator (TDO) is proposed for the fault diagnosis function to improve the sustainable operation of the drive. The reliability of the proposed method will be verified through the operation mechanism of the FT function corresponding to three sensor fault states and a random noise state in the simulation environment by MATLAB/Simulink software.

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A field-oriented control (FOC) method using the virtual currents for the induction motor drive

Cited by 6 publications

References 16 publications

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

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

Fault-Tolerant Control Based on Current Space Vectors against Total Sensor Failures

An extended sensor fault tolerant control method applied to three-phase induction motor drives

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