Modelling of interior‐mount LSPMSM under asymmetrical stator winding

Maraaba, Luqman S.; Al-Hamouz, Z.; Milhem, Abdulaziz S.; Abido, M. A.

doi:10.1049/iet-epa.2017.0525

Cited by 17 publications

(16 citation statements)

References 26 publications

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“…Figure 6 shows the circuit diagram of the test. Based on the circuit analysis, the resistance r s and the leakage inductance L ls can be calculated by using Equations (12) and (13), respectively, as follows: Using Equations (2) and 3, the applied phase voltage (V φ ), the corresponding current ( I φ ) and the phase shift ( θ ) between them are required to calculate the stator resistance and the leakage inductance. Therefore, an AC power supply, ammeter, voltmeter, CASSY unit, and a computer were used to perform the test as shown in Figure 7.…”

Section: Single Phase Ac Test (Rotor Not Included)mentioning

confidence: 99%

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Comprehensive Parameters Identification and Dynamic Model Validation of Interior-Mount Line-Start Permanent Magnet Synchronous Motors

et al. 2019

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The application of line-start permanent magnet synchronous motors (LSPMSMs) is rapidly spreading due to their advantages of high efficiency, high operational power factor, being self-starting, rendering them as highly needed in many applications in recent years. Although there have been standard methods for the identification of parameters of synchronous and induction machines, most of them do not apply to LSPMSMs. This paper presents a study and analysis of different parameter identification methods for interior mount LSPMSM. Experimental tests have been performed in the laboratory on a 1-hp interior mount LSPMSM. The measurements have been validated by investigating the performance of the machine under different operating conditions using a developed qd0 mathematical model and an experimental setup. The dynamic and steady-state performance analyses have been performed using the determined parameters. It is found that the experimental results are close to the mathematical model results, confirming the accuracy of the studied test methods. Therefore, the output of this study will help in selecting the proper test method for LSPMSM.

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Section: Single Phase Ac Test (Rotor Not Included)mentioning

confidence: 99%

“…In addition, it is invaluable that the electric machine manufacturers and designers perform various simulations and analysis before the prototypes are made. Several researchers have carried out several simulation and experimental works on parameter estimation [9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Parameters Identification and Dynamic Model Validation of Interior-Mount Line-Start Permanent Magnet Synchronous Motors

et al. 2019

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“…In recent times, ASW has attracted much attention [16][17][18][19][20], and many researchers have defined ASW as one of the faults in the motor. Massimo et al [16] analysed the influence of ASW on magnetic motive force harmonic content, cogging torque, iron core loss and operation performance of a permanent magnet synchronous motor (PMSM).…”

Section: Introductionmentioning

confidence: 99%

“…Massimo et al [16] analysed the influence of ASW on magnetic motive force harmonic content, cogging torque, iron core loss and operation performance of a permanent magnet synchronous motor (PMSM). Maraaba et al [17] proposed a generalised dq-model derived using winding theorem for an interior-mount line-start PMSM (LSPMSM) under ASW, and investigated the torque frequency spectrum. Zagirnyak et al [18] demonstrated that the ASW influence on dynamic and power characteristics of an electric drive with vector control, and presented two structures of IM control systems.…”

Section: Introductionmentioning

confidence: 99%

Influence of asymmetrical stator axes on the electromagnetic field and driving characteristics of canned induction motor

Zhang

et al. 2019

IET Electric Power Applications

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Canned induction motors (CIMs) are particularly important for high vacuum application due to its low cost, simple design, and mechanically robust. Herein, this study reveals a mechanism of asymmetrical stator axes (ASAs) for CIMs and proposes six coefficients to describe ASA for CIMs under asymmetrical stator phase's windings. Using winding theorem, this study derived the electromagnetic field and driving characteristics in the healthy condition and ASA conditions for a 1.9 kW CIM, and analysed further using mathematical formulas and finite-element models. Both simulation and experimental results show good agreement, and significant variation was found in total harmonic distortion, the amplitude of air-gap flux density, and driving characteristics of CIMs. Further, investigation of back-electromotive force and stator current showed their efficacy as a diagnosis signature to detect the fault of ASA in CIMs. The obtained conclusions can serve as a valuable reference to design a high-performing CIMs control system.

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“…In general, electrical motor failures can be categorized into electrical and mechanical faults [4]. Electrical faults/asymmetries can be further categorized into rotor and stator faults.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Stator Inter-Turn Fault Diagnosis Tool for Induction Motors

2018

Self Cite

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Induction motors constitute the largest proportion of motors in industry. This type of motor experiences different types of failures, such as broken bars, eccentricity, and inter-turn failure. Stator winding faults account for approximately 36% of these failures. As such, condition monitoring is used to protect motors from sudden breakdowns. This paper proposes the use of neural networks as an efficient diagnostic tool for estimating the percentage of stator winding shorted turns in three-phase induction motors. A MATLAB-based model was developed and simulated under different fault-load combination cases for different sizes of motors. The motor's developed electromechanical torque was selected as a fault indicator. For the design and training of the neural network, the mean, variance, max, min, and F120 time based on statistical and frequency-related features were found to be very distinct for correlating the captured electromechanical torque with its corresponding percentage of shorted turns. In the training phase of the neural network, five different motors were used and are referred to as seen motors. On the other hand, for testing the efficiency of the developed diagnostic tool, the electromechanical torque under different fault-load combination cases, previously never seen from the first five motors and those of two new motors (referred to as unseen), was used. Testing results revealed accuracy in the range of 88-99%.

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Modelling of interior‐mount LSPMSM under asymmetrical stator winding

Cited by 17 publications

References 26 publications

Comprehensive Parameters Identification and Dynamic Model Validation of Interior-Mount Line-Start Permanent Magnet Synchronous Motors

Comprehensive Parameters Identification and Dynamic Model Validation of Interior-Mount Line-Start Permanent Magnet Synchronous Motors

Influence of asymmetrical stator axes on the electromagnetic field and driving characteristics of canned induction motor

An Efficient Stator Inter-Turn Fault Diagnosis Tool for Induction Motors

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