A Fast Optimization Scheme of Coaxial Magnetic Gears Based on Exact Analytical Model Considering Magnetic Saturation

2021 ◽  
Vol 57 (1) ◽  
pp. 437-447
Author(s):  
Hang Zhao ◽  
Chunhua Liu ◽  
Zaixin Song ◽  
Jincheng Yu
2020 ◽  
Vol 11 (1) ◽  
pp. 28
Author(s):  
Zaimin Zhong ◽  
Junming You ◽  
Shuihua Zhou

Aiming at the torque ripple problem of direct torque control that is based on space vector pulse width modulation (SVPWM-DTC) caused by the spatial harmonics and magnetic saturation characteristics of permanent magnet synchronous motor (PMSM), a feedforward controller based on an analytical model of PMSM was designed. An analytical motor model taking the spatial harmonics and magnetic saturation characteristics of PMSM into account by reconstructing the numerical solution of magnetic co-energy (MCE) from finite element analysis (FEA) was proposed. Based on that, the optimal stator flux linkage that minimizes the torque ripple is calculated and then a feedforward controller is designed and added to the SVPWM-DTC framework. Simulations and experiments are carried out and the results show that the proposed feedforward controller can effectively reduce the torque ripple of SVPWM-DTC.


Author(s):  
Hang Zhao ◽  
K.T. Chau ◽  
Tengbo Yang ◽  
Zaixin Song ◽  
Chunhua Liu

2011 ◽  
Vol 121-126 ◽  
pp. 3765-3769 ◽  
Author(s):  
Jing Jun Zhang ◽  
Rong Long ◽  
Hai Jun Zhang ◽  
Xi Qing Ma

This paper bases on the magnetic method combining the tensor maxwell in considering magnetic saturation method, in considering magnetic saturation effect and actual switched reluctance motor stator and rotor under the premise of very wide, deduces and sets up a analytical models of radial force which can apply directly to switched reluctance motor stator and rotor with unequal extremely arc equal two circumstances analytical models of radial force. This model conforms to the actual switched reluctance motor structure and operation characteristics and structure optimization design for switched reluctance motor, electromagnetic vibration and noise prediction and control provides theory basis. With a prototype as an example, this paper calculated results and the analytical model of the finite element analysis of the results compared to verify the correctness of the analytical model built.


Author(s):  
Jawad Faiz ◽  
Farhad Rezaee-Alam

Purpose The purpose of this paper is to present an improved winding function theory (IWFT) for performance analysis of surface mounted permanent magnet (SMPM) motors, which can precisely and simultaneously consider the impacts of stator slotting, the winding distribution, the magnetic flux density within PMs because of the armature reaction, the PM magnetization angle and the magnetic saturation,. Design/methodology/approach To obtain this improved analytical model, the conformal mappings (CMs) are introduced to calculate the relative complex permeance of slotted air-gap, which is used to obtain the function of slotted air-gap length. The equivalent magnetizing current model is used to extract the equivalent winding function for each PM pole. For retaining the basic assumption of WFT, the magnetic saturation is also considered by a proper increase in the air-gap length in the front of the stator teeth. Findings A new hybrid analytical model (HAM) based on WFT is presented in this paper, which can simultaneously and accurately consider the effects of slotting, the magnetic saturation, the variation of PM operating point and the winding distribution. In fact, IWFT removes all the drawbacks of the conventional WFT. Moreover, IWFT is more user-friendly and faster than other analytical and numerical techniques. Practical implications The obtained HAM can be used for design, optimization and fault diagnosis in electric machines. Originality/value This paper presents a new HAM for accurate modeling the SMPM motors, which includes different considerations of electromagnetic modeling. This new HAM can also be used for modeling the other electric motors.


2020 ◽  
Vol 14 (7) ◽  
pp. 1148-1153
Author(s):  
Yi Hao ◽  
Xilian Wang ◽  
Ruizhen Cui ◽  
Xinyu Fang ◽  
Wei Zhang ◽  
...  

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