Fault-Tolerant Control of Five-Phase Induction Motor Under Single-Phase Open

Kong, Wubin; Huang, Jin; Kang, Min; Li, Bingnan; Zhao, Lihang

doi:10.5370/jeet.2014.9.3.899

Cited by 15 publications

(9 citation statements)

References 23 publications

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“…The converters and drive systems with random PWM have been proposed for various applications such as active power filters [24], electric vehicles [17], naval propulsion system [25], etc. Due to the random-like behavior and easy implementation, the chaotic PWM is often used to take place of random PWM to shape the harmonic spectrum [26][27][28]. Recently, the chaotic PWM has been proposed for security management of wireless charging for electric vehicles [29].…”

Section: Introductionmentioning

confidence: 99%

Field-Oriented Control and Direct Torque Control for Paralleled VSIs Fed PMSM Drives With Variable Switching Frequencies

Wang

Chen

Cheng

et al. 2016

IEEE Trans. Power Electron.

189

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In this paper, three control schemes with variable switching frequencies are proposed and analyzed for the paralleled voltage-source inverters (VSIs) fed permanent magnet synchronous motor (PMSM) drive. The proposed schemes could be applied in the low-speed operation region of high-power drive system, where the frequency modulation index is high. Firstly, the field-oriented control (FOC) with phase-shifted chaotic space vector modulation (SVM) under synchronous frame and the FOC with phase-shifted chaotic sinusoidal pulse-width-modulation (SPWM) under stationary frame are proposed for the paralleled VSIs fed PMSM drive. The proposed phase-shifted chaotic PWM schemes not only eliminate specific switching harmonics completely but also suppress all remaining switching harmonic peaks in the spectrum. The avoidance of inherent circulating current is also considered in designing these two schemes. Secondly, the direct torque control (DTC) for the paralleled VSIs fed PMSM drive is proposed with circulating current suppression. Besides inheriting the advantages of DTC, the output currents of paralleled VSIs are kept balanced. The working principles of these three methods are presented in detail. Experimental results on a laboratory prototype are given to verify the validity of the three proposed control schemes for the paralleled VSIs fed PMSM with variable switching frequencies.

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Section: Introductionmentioning

confidence: 99%

Field-Oriented Control and Direct Torque Control for Paralleled VSIs Fed PMSM Drives With Variable Switching Frequencies

Wang

Chen

Cheng

et al. 2016

IEEE Trans. Power Electron.

189

View full text Add to dashboard Cite

show abstract

“…Several studies published the news PWM modulations methods that can be used in multi-phase applications with several levels [16][17][18][19]. The first successful implementation of an algorithm of multi-phase SVPWM with several levels based on the approach SVM [20][21][22][23][24][25][26]. Such an approach is considered like a classical approach SVPWM presented in [18].…”

Section: Introductionmentioning

confidence: 99%

A Novel Dual Three-Phase Multilevel Space Vector Modulation for Six-Phase Multilevel Inverters to Drive Induction Machine

Bekrar¹,

Bouhali²,

Khadar³

et al. 2019

MMC_A

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This paper proposes a novel dual three-phase Space Vector Modulation (SVM) for sixphase multilevel inverter to control a Six Phase Induction Machine (SPIM). The main idea is to control the six-phase multilevel inverter as two three-phase (1, 3 and 5 phases for the first one and 2, 4 and 6 phases for the second one) multilevel inverters separately by SVM of the N-level three-phase Separate DC Source (SDCS) inverter. This enables a great the simplification of the control algorithm for six phase multilevel (N level) inverter drive. In Six-Phase SVM, N6 vectors are used so if two level N=2, 3 level or 4 level, implies 64 vectors, 729 vectors, 15625 vectors are used respectively. However, in a proposed dual three-phase SVM, we use N3 vectors so if 2 level, 3 level or 4 level implies 8 vectors, 27 vectors, 125 vectors are used respectively to control the six-phase multilevel inverters as two three-phase multilevel inverter with the same three-phase multilevel SVM. Whereas the first three-phase inverter is composed by 1, 3, and 5 phases and the second three-phase is composed by 2, 4 and 6 phases. This allows to have a new modulation technique for six-phase multi-level inverter and a great simplification of the classical six-phase SVM control algorithm. The simulation results of the Indirect Field Oriented Control (IFOC) of six-phase induction machine drive fed by stacked multilevel inverters are given to highlight the performance of the proposed control structure.

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“…(19) First, the proposed RVM-CSO initializes the training features ( ) f x and BSP. BSP is a thresholding process.…”

Section: Algorithm For the Proposed Rvm-csomentioning

confidence: 99%

“…Kong et al formulated fault-tolerant control for a fivephase induction motor under a single-phase open circuit. Control methods were developed based on the third harmonic current injection [19].…”

Section: Related Workmentioning

confidence: 99%

Fault Detection and Classification with Optimization Techniques for a Three-Phase Single-Inverter Circuit

Gomathy¹,

Selvaperumal²

2016

Journal of Power Electronics

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Fault detection and isolation are related to system monitoring, identifying when a fault has occurred, and determining the type of fault and its location. Fault detection is utilized to determine whether a problem has occurred within a certain channel or area of operation. Fault detection and diagnosis have become increasingly important for many technical processes in the development of safe and efficient advanced systems for supervision. This paper presents an integrated technique for fault diagnosis and classification for open-and short-circuit faults in three-phase inverter circuits. Discrete wavelet transform and principal component analysis are utilized to detect the discontinuity in currents caused by a fault. The features of fault diagnosis are then extracted. A fault dictionary is used to acquire details about transistor faults and the corresponding fault identification. Fault classification is performed with a fuzzy logic system and relevance vector machine (RVM). The proposed model is incorporated with a set of optimization techniques, namely, evolutionary particle swarm optimization (EPSO) and cuckoo search optimization (CSO), to improve fault detection. The combination of optimization techniques with classification techniques is analyzed. Experimental results confirm that the combination of CSO with RVM yields better results than the combinations of CSO with fuzzy logic system, EPSO with RVM, and EPSO with fuzzy logic system.

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Fault-Tolerant Control of Five-Phase Induction Motor Under Single-Phase Open

Cited by 15 publications

References 23 publications

Field-Oriented Control and Direct Torque Control for Paralleled VSIs Fed PMSM Drives With Variable Switching Frequencies

Field-Oriented Control and Direct Torque Control for Paralleled VSIs Fed PMSM Drives With Variable Switching Frequencies

A Novel Dual Three-Phase Multilevel Space Vector Modulation for Six-Phase Multilevel Inverters to Drive Induction Machine

Fault Detection and Classification with Optimization Techniques for a Three-Phase Single-Inverter Circuit

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