Comparison of fault tolerant control algorithm using space vector modulation of PMSM drive

Łuczak, Dominik; Siembab, Krzysztof

doi:10.1109/mechatronika.2014.7018231

Cited by 8 publications

(2 citation statements)

References 7 publications

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“…The system can have hardware redundancy, which will be used if failure occurs, however, it is expensive to duplicate parts and not always technically possible to apply. FTC allows to continue the system usage of the system with performance constrains [ 51 , 52 , 53 , 54 , 55 , 56 ].…”

Section: General Structure Of Fault Diagnosis and Perspective Mainten...mentioning

confidence: 99%

Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things Connectivity

Łuczak

Brock

Siembab

2023

Sensors

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The human-centric and resilient European industry called Industry 5.0 requires a long lifetime of machines to reduce electronic waste. The appropriate way to handle this problem is to apply a diagnostic system capable of remotely detecting, isolating, and identifying faults. The authors present usage of HTTP/1.1 protocol for batch processing as a fault diagnosis server. Data are sent by microcontroller HTTP client in JSON format to the diagnosis server. Moreover, the MQTT protocol was used for stream (micro batch) processing from microcontroller client to two fault diagnosis clients. The first fault diagnosis MQTT client uses only frequency data for evaluation. The authors’ enhancement to standard fast Fourier transform (FFT) was their usage of sliding discrete Fourier transform (rSDFT, mSDFT, gSDFT, and oSDFT) which allows recursively updating the spectrum based on a new sample in the time domain and previous results in the frequency domain. This approach allows to reduce the computational cost. The second approach of the MQTT client for fault diagnosis uses short-time Fourier transform (STFT) to transform IMU 6 DOF sensor data into six spectrograms that are combined into an RGB image. All three-axis accelerometer and three-axis gyroscope data are used to obtain a time-frequency RGB image. The diagnosis of the machine is performed by a trained convolutional neural network suitable for RGB image recognition. Prediction result is returned as a JSON object with predicted state and probability of each state. For HTTP, the fault diagnosis result is sent in response, and for MQTT, it is send to prediction topic. Both protocols and both proposed approaches are suitable for fault diagnosis based on the mechanical vibration of the rotary machine and were tested in demonstration.

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Section: General Structure Of Fault Diagnosis and Perspective Mainten...mentioning

confidence: 99%

Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things Connectivity

Łuczak

Brock

Siembab

2023

Sensors

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“…[30], the proper operation of an induction motor driven by an SSTP inverter under a short-circuit fault in one-leg is accomplished without significant disturbance using a proposed fault isolation topology in which the inverter is reconfigured from six switches to only four switches. The faulty condition of an SSTP inverter resembling the operation of an FSTP inverter are investigated for PMSM drives using FOC and DTC schemes in [31][32][33][34][35][36][37][38]. Minimization of torque and current ripples incorporating space vector pulse width modulation (SVPWM) have been investigated for FSTP inverters.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Position Sensorless Speed Control of PMSM Drive Using Four-Switch Inverter

Kıvanç

Öztürk

2019

Energies

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A low-cost position sensorless speed control method for permanent magnet synchronous motors (PMSMs) is proposed using a space vector PWM based four-switch three-phase (FSTP) inverter. The stator feedforward d q -axes voltages are obtained for the position sensorless PMSM drive. The q-axis current controller output with a first order low-pass filter formulates the rotor speed estimation algorithm in a closed-loop fashion similar to PLL (Phase Lock Loop) and the output of the d-axis current controller acts as the derivative representation in the stator feedforward voltage equation. The proposed method is quite insensitive to multiple simultaneous parameter variations such as rotor flux linkage and stator resistance due to the dynamic effects of the PI current regulator outputs that are used in the stator feedforward voltages with a proper value of K gain in the q-axis stator voltage equation. The feasibility and effectiveness of the proposed position sensorless speed control scheme for the PMSM drive using an FSTP inverter are verified by simulation and experimental studies.

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Modified space vector modulation for fault tolerant control of PMSM drive

Siembab

Zawirski

2016

2016 IEEE International Power Electronics and Motion Control Conference (PEMC)

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Comparison of fault tolerant control algorithm using space vector modulation of PMSM drive

Cited by 8 publications

References 7 publications

Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things Connectivity

Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things Connectivity

Low-Cost Position Sensorless Speed Control of PMSM Drive Using Four-Switch Inverter

Modified space vector modulation for fault tolerant control of PMSM drive

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