Analytical prediction of inter-turn short-circuit current in fault-tolerant permanent magnet brushless machines

Author(s):  
J. Chai ◽  
J. Wang ◽  
Z. Sun ◽  
D. Howe
Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5669
Author(s):  
Dingyu Wang ◽  
Yiguang Chen

In the five-phase permanent magnet synchronous motor (PMSM) control system, the torque ripple caused by coil inter-turn short-circuit (ITSC)fault will make the motor performance worse. Due to the existence of the short-circuit current in the faulty phase and the third harmonic component in the permanent magnet flux linkage, the electromagnetic torque will contain even-order ripple components when the faulty phase is removed. Torque ripple also cause speed ripple. In this paper, the repetitive controller (RC) is used to perform proportional gain compensation for speed ripple. By designing the RC and connecting RC and proportional integral (PI) controller in parallel for the speed loop, the torque ripple amplitude can be reduced. It can be seen from the simulation and experimental results that the torque ripple suppression strategy based on RC can effectively suppress the torque ripple under ITSC fault.


2013 ◽  
Vol 416-417 ◽  
pp. 66-72
Author(s):  
Ping Zheng ◽  
Fan Wu ◽  
Yi Sui ◽  
Peng Fei Wang ◽  
Bin Yu

This paper deals with a low-speed high-torque six-phase fault-tolerant permanent magnet synchronous machine (PMSM) for wheel-driving electric vehicle (EV) applications. In machine design, winding arrangements and feasible slot/pole combinations are discussed and compared; a 24-slot/22-pole alternate-teeth-wound scheme is analyzed and designed. With reinforced slot-leakage component, the inductance of the machine is increased to restrain the one-phase short-circuit current to nearly 1.0 per unit preventing the machine from deteriorations in condition of that fault. The 24-slot/22-pole alternate-teeth-wound prototype machine is manufactured and the experimental verification is provided.


2016 ◽  
Vol 52 (4) ◽  
pp. 1-9 ◽  
Author(s):  
Jiri Dusek ◽  
Puvan Arumugam ◽  
Christopher Brunson ◽  
Emmanuel K. Amankwah ◽  
Tahar Hamiti ◽  
...  

2011 ◽  
Vol 383-390 ◽  
pp. 7300-7305
Author(s):  
Yu Wang ◽  
Zhi Quan Deng ◽  
Xiao Lin Wang

Fault tolerant flux-switching permanent magnet (FTFSPM) machine is a novel fault tolerant machine having magnet in the stator, which not only has the advantages such as excellent physical, mechanical and magnet insulation abilities, but also overcomes the disadvantages in conventional rotor-PM topology like magnets are subjected to centrifugal force and difficult to dispel heat. However, the ability to inhibit short circuit current of FTFSPM has a great impact on the machine torque (power) density. In this paper, a novel multi-tooth fault-tolerant flux-switching permanent magnet (MTFTFSPM) machine which has big self inductance is proposed. Finite element analyses (FEA) are employed to compare the electromagnetic performance of three types of fault-tolerant topology including flux-linkage, back-EMF, torque density and inductances. The results show that the MTFTFSPM machine can reach higher torque density than traditional FTFSPM due to the multi-tooth structure.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jian-wei Yang ◽  
Man-feng Dou ◽  
Zhi-yong Dai

Taking advantage of the high reliability, multiphase permanent magnet synchronous motors (PMSMs), such as five-phase PMSM and six-phase PMSM, are widely used in fault-tolerant control applications. And one of the important fault-tolerant control problems is fault diagnosis. In most existing literatures, the fault diagnosis problem focuses on the three-phase PMSM. In this paper, compared to the most existing fault diagnosis approaches, a fault diagnosis method for Interturn short circuit (ITSC) fault of five-phase PMSM based on the trust region algorithm is presented. This paper has two contributions. (1) Analyzing the physical parameters of the motor, such as resistances and inductances, a novel mathematic model for ITSC fault of five-phase PMSM is established. (2) Introducing an object function related to the Interturn short circuit ratio, the fault parameters identification problem is reformulated as the extreme seeking problem. A trust region algorithm based parameter estimation method is proposed for tracking the actual Interturn short circuit ratio. The simulation and experimental results have validated the effectiveness of the proposed parameter estimation method.


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