A Generalized Open-Circuit Fault-Tolerant Control Strategy for FOC and DTC of Five-Phase Fault-Tolerant Permanent-Magnet Motor

Zhang, Li; Zhu, Xiaoyong; Cui, Ronghua; Han, Sai

doi:10.1109/tie.2021.3106012

Cited by 33 publications

(4 citation statements)

References 28 publications

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“…Firstly, it improves the performance of the motor by isolating different operating parameters, such as speed, torque, and current, and subsequently adjusting the control strategy based on these parameters. This enhances the efficiency and accuracy of the control system [45]. Moreover, demultiplexing the stator current and rotor position signals improves the accuracy of these measurements, thereby enhancing the overall performance of the DTC control system.…”

Section: Demux For Dtc Induction Motormentioning

confidence: 99%

Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory

Le,

Oktian,

et al. 2023

Sensors

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Accurately forecasting electrical signals from three-phase Direct Torque Control (DTC) induction motors is crucial for achieving optimal motor performance and effective condition monitoring. However, the intricate nature of multiple DTC induction motors and the variability in operational conditions present significant challenges for conventional prediction methodologies. To address these obstacles, we propose an innovative solution that leverages the Fast Fourier Transform (FFT) to preprocess simulation data from electrical motors. A Bidirectional Long Short-Term Memory (Bi-LSTM) network then uses this altered data to forecast processed motor signals. Our proposed approach is thoroughly examined using a comparative examination of cutting-edge forecasting models such as the Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). This rigorous comparison underscores the remarkable efficacy of our approach in elevating the precision and reliability of forecasts for induction motor signals. The results unequivocally establish the superiority of our method across stator and rotor current testing data, as evidenced by Mean Absolute Error (MAE) average results of 92.6864 and 93.8802 for stator and rotor current data, respectively. Additionally, compared to alternative forecasting models, the Root Mean Square Error (RMSE) average results of 105.0636 and 85.7820 underscore reduced prediction loss.

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Section: Demux For Dtc Induction Motormentioning

confidence: 99%

Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory

Le,

Oktian,

et al. 2023

Sensors

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show abstract

“…tolerant permanent magnet synchronous motor (FTPMSM), it has been extensively investigated in the field of EVs [4]. By adopting the corresponding fault-tolerant control, the FTPMSM is able to operate continuously under power switch fault, open-circuit fault, and short-circuit fault without system performance degradation [5], [6]. To achieve high-precision control for the five-phase FTPMSM, the accurate rotor position is necessary to be acquired.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Five-phase Flux-Intensifying Fault-Tolerant Permanent-Magnet Motor With Active Sensorless Strategy Under Multimode Operation

Zhang

Shen

Zhu

et al. 2023

IEEE Trans. Energy Convers.

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“…Thus, faulttolerant vector control has been widely concerned. The goal of FTC is to minimize the reconfiguration of the drive system under fault-tolerant operation and to ensure good output performance under normal and fault-tolerant operation [7]. The fault-tolerant vector control strategy based on current control has the advantage of being simple and easy to implement [8].…”

Section: Introductionmentioning

confidence: 99%

Research on Fault-Tolerant Field-Oriented Control of a Five-Phase Permanent Magnet Motor Based on Disturbance Adaption

et al. 2022

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To ensure the high-quality output performance of the five-phase fault-tolerant permanent magnet synchronous motor (FTPMSM) drive system under normal and open-circuit faults and achieve the minimal reconfiguration of the FTPMSM control drive system under various open-circuit faults, in this paper, a fault-tolerant field-oriented control (FOC) strategy based on disturbance adaption is proposed. The speed-loop and current-loop steady-healthy controllers are designed to effectively suppress the torque ripples caused by open-circuit faults and improve the robustness of the drive system to load disturbance and motor parameter variation under fault operation. Moreover, the additional zero-sequence current controller can be omitted. In addition, the modified reduced-order coordinate transformation matrices are proposed to weaken the influence of oscillating neutral. Finally, the fault-tolerant FOC system of the FTPMSM is established, and its experiment is conducted. The experimental results verify the feasibility and effectiveness of the proposed control strategy.

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A Generalized Open-Circuit Fault-Tolerant Control Strategy for FOC and DTC of Five-Phase Fault-Tolerant Permanent-Magnet Motor

Cited by 33 publications

References 28 publications

Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory

Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory

Design and Analysis of a Five-phase Flux-Intensifying Fault-Tolerant Permanent-Magnet Motor With Active Sensorless Strategy Under Multimode Operation

Research on Fault-Tolerant Field-Oriented Control of a Five-Phase Permanent Magnet Motor Based on Disturbance Adaption

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