Power Transistors’ Fault Diagnosis Method of SR S/G for More Electric Aircraft With Cross-Leg Current Analysis

Chen, Hao; Chen, Haobiao; Han, Guoqiang; Guan, Guorui

doi:10.1109/tte.2020.3019249

Cited by 11 publications

(3 citation statements)

References 23 publications

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“…Traditional reliability calculation models usually include those of the reliability block diagram (RBD) [15], fault tree [16], k-out-of-n: G [17], [18] and Markov [19] [21]. In general, the reliability block diagram and fault tree models are often used to calculate system-level reliability because of their simple structure and easy implementation [13], [14]. However, because an SRM has a strong fault-tolerant capability and that capability cannot be injected into the reliability model, these two models cannot be directly used for the reliability model calculation of an SRM system.…”

Section: ⅰ Introductionmentioning

confidence: 99%

Reliability Analysis of a Switched Reluctance Starter/Generator

Chen,

Yang,

et al. 2024

Prot. Control Mod. Power Syst.

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In this paper, the combined k-out-of-n:G model and reliability block diagram model is used to analyze the reliability of a switched reluctance starter/generator system. First, the different operational modes of a switched reluctance motor starter/generator are analyzed, and the fault states of the system are briefly described. Then the fault criteria of the system in different operational states are put forward. Secondly, a reliability block diagram model is established to calculate the system-level reliability, and the k-out-of-n:G model is adopted to analyze the reliability of each part of the switched reluctance starter/generator system. To verify effectiveness, the first-order Markov model is also used to analyze the reliability of each part of the switched reluctance starter/generator system. Considering the computational complexity and accuracy of the system, the k-out-of-n:G model is more suitable for system component level reliability analysis. Finally, a 6/4 switched reluctance motor is used as the simulated and experimental platform motor. The final results verify the effectiveness of the reliability analysis model.

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Section: ⅰ Introductionmentioning

confidence: 99%

Reliability Analysis of a Switched Reluctance Starter/Generator

Chen,

Yang,

et al. 2024

Prot. Control Mod. Power Syst.

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“…This makes SRMs less expensive to manufacture than Induction Machines (IMs), especially Permanent Magnet Machines (PMMs). The very simple design of an SRM and the typical half-bridge power supply make the drive exceptionally resistant to faults and able to operate in the case of partial faults [1][2][3]. Switched reluctance machines are being continuously developed for applications in aviation [3][4][5] and electric cars [6][7][8][9][10] as an alternative to more expensive and more failure-prone drives with induction and permanent magnet machines.…”

Section: Introductionmentioning

confidence: 99%

“…The very simple design of an SRM and the typical half-bridge power supply make the drive exceptionally resistant to faults and able to operate in the case of partial faults [1][2][3]. Switched reluctance machines are being continuously developed for applications in aviation [3][4][5] and electric cars [6][7][8][9][10] as an alternative to more expensive and more failure-prone drives with induction and permanent magnet machines. It should be noted that SRMs have a very wide range of speed control and a constant power operation.…”

Section: Introductionmentioning

confidence: 99%

Analysis Performance of SRM Based on the Novel Dependent Torque Control Method

et al. 2021

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This paper presents a description and the results of simulations and laboratory tests of proposed methods for dependent torque control in a Switched Reluctance Motor (SRM). The proposed methods are based on Dependent Torque Motor Control (Rising Slope), DTMC(RC), and Dependent Torque Motor Control (Falling Slope), DTMC(FC). The results of these studies were compared with those on the Classical Torque Motor Control (CTMC) method. Studies were conducted for each of the analyzed control methods by determining the efficiency of the drive and the RMS of the source current and analyzing the vibrations generated for each of the control methods. The harmonics of the phase currents, which caused an increase in the level of vibrations generated, were determined. The usefulness of the proposed methods for controlling SRMs was assessed based on simulations and experiments. Additionally, the natural frequencies of the stator of the tested SRM were determined by a simulation using the Ansys Maxwell suite. The levels of vibration acceleration generated by the SRM were compared for the considered control methods.

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