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Featured researches published by Zhe Qian.


conference on industrial electronics and applications | 2015

Analysis of eddy current loss on permanent magnets in PMSM with fractional slot

Li Chu; Guoli Li; Zhe Qian; Wenxia Yin

The analysis of the eddy current loss in the permanent magnet (PM) is an important research topic of the PM motor. PM eddy current loss in PMSM with fractional-slot concentrated winding (FSCW), which has ample harmonics exist in the air gap field, is an urgent problem needed to be solved. A FSCW-PMSM with 24-slot-16-pole two-dimensional model of PM eddy current loss is established by using the finite element method (FEM). The motor winding MMF and harmonic of air gap flux density is analyzed. According to the mathematical model of PM eddy current loss, this paper has calculated the main space harmonics loss generated on one PM. Under the rated-load condition, the influencing factors of PM eddy current loss are analyzed. From the above analysis this paper has adopted effective methods to reduce the PM eddy current loss.


international conference on electrical machines and systems | 2013

Design and analysis of permanent magnetic spherical motor with cylindrical poles

Zhe Qian; Qunjing Wang; Guoli Li; Xiwen Guo; Cungang Hu; Hui Yan

The paper has presented a new structure of three-of-degree (3-DOF) permanent magnetic spherical motor (PMSM) including four layers of cylindrical rotor poles and two layers of coils without ferromagnetic core. The radial magnetic field influenced by magnetization direction and different structure of rotor poles are analyzed based on analytic method by toroidal function. With the torque model the effects on torque characteristic caused by the parameters of cylindrical poles, coil structure, core material and gap length are analyzed. The results provide reference for PMSM optimization.


conference on industrial electronics and applications | 2015

Flux-weakening control research of IPMSM considering magnetic saturation

Wenxia Yin; Guoli Li; Zhe Qian; Li Chu

The one character of Inner Permanent Magnet Synchronous Motor (IPMSM) is that quadrature axis inductance parameter variation is relatively larger than direct axis inductance parameter variation. So in the whole control areas, namely, constant torque and constant power region, the magnetic saturation exerts an important influence on the motor parameters. This paper built a flux-weakening controlling model of IPMSM, and simulated two cases, considering the magnetic saturation and without considering it. Based on those results, the effects of the motor magnetic circuit changes on the motor output properties are analyzed.


international conference on electrical machines and systems | 2014

Research of orientation detection method for spherical motor and effect on PD control system based on machine vision

Zhe Qian; Qunjing Wang; Xiwen Guo; Guoli Li; Shan Ma

The rotor orientation detection of spherical motor is crucial to the closed-loop control. The paper presents the method for measuring rotor orientation based on machine vision. The pattern code generation, deriving method and pattern processing algorithm are introduced. With the model built in OpenGL, measurement errors of three degrees of freedom (DOF) are derived. Resolution and accuracy of the measurement method are analyzed. Considering the measurement of time delay, the effect on PD control system with simplified dynamical model of spherical motor is presented.


international conference on electrical machines and systems | 2014

Rotor orientation detection method of spherical motor based on single 2-DOF optical sensor

Yan Wang; Qunjing Wang; Zhe Qian; Yan Wen; Shan Ma

The measurement of the spherical motor rotor position is an important part of the motor control system. In this paper, the 3-DOF spherical motor rotor position is measured with only single 2-DOF optical sensor. The orientation detection model is built, the measuring method is reviewed. After the detection method is simulated, the results of rotation angles are obtained and being transformed into Euler angles. Last, the static characteristics of the orientation detection model are analyzed.


international conference on electrical machines and systems | 2017

A new regression modeling method for PMSLM design optimization based on K-Nearest Neighbor Algorithm

Juncai Song; Fei Dong; Jiwen Zhao; Jing Zhao; Zhe Qian; Qian Zhang

This paper focuses on the rapid regression modeling research for the design optimization of Permanent magnet synchronous linear motors (PMSLM) which are applied in the linear motion machines. Based on the Finite Element Analysis (FEA), the initial PMSLM model is built and the modeling data of optimization are obtained. Then, the machine learning regression algorithm named K-Nearest Neighbor Algorithm (KNNA) is introduced to mapping the nonlinear relations of structure parameters and performances, and establishes the rapid calculation model for the next optimization. Finally, the superiority and reliability of this method is confirmed by the FEA experiments.


conference on industrial electronics and applications | 2016

Application of ECS in metal material separation based on ANSYS

Guihua Li; Zhengkui Wei; Zhe Qian; Xiushui Ma

Wide application of metal materials resulted in a lack of resources. The mental scarcity has become a bottleneck which restricts the development of our industry and affects the continuous development of society and economy. Scrap metal recycling is an inevitable choice to solve mental resources shortage. So it is very important to separate the different scrap mental materials accurately. The eddy current sensor (ECS) has becomes an effective method for nondestructive testing technology and have been widely used in metal materials detection. In this paper, the basic principle of ECS ranging is introduced, modeling and simulating the different scrap mental materials is described. We also establish models based on ANSYS from three aspects of magnetic field distribution, magnetic induction intensity and equivalent impedance of sensor coil. The simulation results show that scrap mental materials can be effectively detected and separated by using ECS.


conference on industrial electronics and applications | 2016

Research on torque optimization of the spherical motor based on SVM

Lufeng Ju; Zhe Qian; Guoli Li; Rui Zhou

The magnetic torque model of the permanent magnet spherical motor is established by analyzing the finite element model of it in this paper. Then a support vector machine (SVM) model for the permanent magnet spherical motor is established based on machine learning algorithm. Finally, the optimal parameters of the permanent magnet spherical motor are calculated by using the simulated annealing algorithm and the SVM model which are validated by using the finite element method.


conference on industrial electronics and applications | 2016

Research on effect of temperature on performance and temperature compensation of interior permanent magnet motor

Zhenggen Zhang; Guoli Li; Zhe Qian; Qiubo Ye; Yu Xia

Temperature of windings increases because of the heat generated during motor running process, therefore motor parameters will be changed. The effects of temperature on external characteristics of the motor were analyzed as the rising temperature causes demagnetization of the permanent magnet. A new control strategy is designed to reduce the influence of the temperature. The simulation results show the validity of the compensation method.


conference on industrial electronics and applications | 2016

Research on rotor magnet loss in fractional-slot concentrated-windings permanent magnet motor

Yu Xia; Guoli Li; Zhe Qian; Qiubo Ye; Zhenggen Zhang

Eddy current loss in rotor permanent magnet can cause magnet heating and even demagnetization. It is much worse in machines equipped with fractional-slot concentrated-windings (FSCW). The paper analyzes harmonics of magnetic flux in airgap, slot harmonics, spatial harmonics and temporal harmonics of the magneto-motive-force (MMF). The relationship between the rotor magnet loss and air-gap size is investigated by finite element method (FEM). The effects on magnet loss with different magnet segmentations are analyzed in detail.

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