Reducing Cogging Torque in Surface-Mounted Permanent-Magnet Motors by Nonuniformly Distributed Teeth Method

Wang, Daohan; Wang, Xiuhe; Qiao, Dongwei; Pei, Ying; Jung, Sang-Yong

doi:10.1109/tmag.2011.2144612

Cited by 91 publications

(38 citation statements)

References 16 publications

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“…Cogging torque of IPMSM is reduced in this research by using the proposed KSM. A lot of techniques are proposed for the reduction of cogging torque of the IPMSM, the surface mounted permanent magnet synchronous machine, and the axial flux permanent magnet machine [19][20][21][22][23][24][25][26][27][28][29][30]. These approaches indicate that the pole-arc to pole-pitch ratio strongly effects on the cogging torque.…”

Section: Verification Of the Ksm Via Optimization Of The Ipmsmmentioning

confidence: 99%

Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm

Kim¹,

Woo²,

Lim³

et al. 2014

Journal of Electrical Engineering and Technology

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-Optimization of an electric machine is mainly a nonlinear multi-modal problem. For the optimization of the multi-modal problem, many function calls are required with much consumption of time. To address this problem, this paper proposes a novel hybrid algorithm in which function calls are less than conventional methods. Specifically, the proposed method uses the kriging metamodel and the fill-blank technique to find an approximated solution in a whole problem region. To increase the convergence speed in local peaks, a parallel gradient assisted simplex method is proposed and combined with the kriging meta-model. The correctness and usefulness of the proposed hybrid algorithm is verified through a mathematical test function and applied into the practical optimization as the cogging torque minimization for an interior permanent magnet synchronous machine.

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Section: Verification Of the Ksm Via Optimization Of The Ipmsmmentioning

confidence: 99%

Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm

Kim¹,

Woo²,

Lim³

et al. 2014

Journal of Electrical Engineering and Technology

Self Cite

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“…Referring to the definition of cogging torque in traditional PM machines, the cogging torque in PMFSM is defined as the no-load torque without winding excitation, which can be described as [2,6,7] (1)…”

Section: Analytical Model Of Cogging Torque In Pmfsmmentioning

confidence: 99%

Design Techniques for Reducing Cogging Torque in Permanent Magnet Flux Switching Machine

Wang¹,

Wang²,

Jung³

2013

Journal of Magnetics

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Permanent magnet flux switching motor (PMFSM) is a novel double salient machine which employs PMs instead of field winding for excitation. PMFSM contains only one set of armature winding, thereby features simple control strategy, low cost power inverter and substantial high efficiency. Due to the unique double salient structure and operation principle, the generated cogging torque in PMFSM is critical and quite different compared to the traditional PM machines. This paper presents and investigates various design techniques for reducing cogging torque in PMFSM. Firstly, an analytical model is proposed to study the influence of different methods on cogging torque. Then the optimal design parameters for minimizing cogging torque are determined by the analytical model, which significantly reduces the computational efforts. At last, the cogging torque with different design approaches are simulated by FEA along with the average output electromagnetic torque, which validates the analysis above.

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“…In servo drives, it degrades the response of the high-performance motion control particularly at low speed, light load, and direct drives. Various design techniques exist for reducing the cogging torque such as magnet shifting [1], uneven distribution of slots [1,2], uneven width of slots/teeth [2,3], slot skewing, magnet skewing, and dummy slots on stator teeth in radial flux permanent-magnet (RFPM) machines. However, although some of them can be applied to axialflux PM (AFPM) machines, most of them may be prohibitive due to the additional manufacturing complexity and cost.…”

Section: Introductionmentioning

confidence: 99%

Semi-Analytical Model for Skewed Magnet Axial Flux Machine

Reza¹

2018

PIER M

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Abstract-High power density and torque capability are distinguished features of slotted axial flux permanent magnet machine. However, due to alternate placement of slot and teeth, the airgap permeance and airgap magnetic energy vary with angular position. Even in absence of current excitation, the magnetic variation with position results in cogging torque. This torque produces several undesirable phenomena such as mechanical vibration, acoustic noise, torque ripples, voltage ripples and speed ripple in machine performance. The severity is high for low speed, light load, and direct drive applications. Various design modifications such as slot skewing, magnet skewing, axillary slots, optimization of pole pitch to pole arc ratio and many more are reported for cogging torque mitigation. Any of these design modifications adversely affects the machine performance in terms of no load magnetic field distribution, linkage flux, and induced emf. In this paper, the effect of magnet skewing is investigated for dualrotor permanent magnet axial flux machine. The analytical model is developed for the determination of magnetic field distribution at no load. Three different types of open slots stators viz. type 1: trapezoidal Slot with trapezoidal teeth, type 2: Parallel slot with trapezoidal teeth, and type 3: trapezoidal slot with parallel teeth are used for the investigation of air-gap magnetic field density and cogging torque produced in machine. The analytically obtained results are compared with finite element analysis (FEA) for the validation.

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Reducing Cogging Torque in Surface-Mounted Permanent-Magnet Motors by Nonuniformly Distributed Teeth Method

Cited by 91 publications

References 16 publications

Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm

Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm

Design Techniques for Reducing Cogging Torque in Permanent Magnet Flux Switching Machine

Semi-Analytical Model for Skewed Magnet Axial Flux Machine

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