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Qian Wen Xiang; Mengjiao Fang; Ye Yuan; Yanjun Yu. A NOVEL HYBRID EXCITATION DOUBLE-STATOR BEARINGLESS SWITCHED RELUCTANCE MOTOR. Progress In Electromagnetics Research M 2018, 69, 37 -49.
AMA StyleQian Wen Xiang, Mengjiao Fang, Ye Yuan, Yanjun Yu. A NOVEL HYBRID EXCITATION DOUBLE-STATOR BEARINGLESS SWITCHED RELUCTANCE MOTOR. Progress In Electromagnetics Research M. 2018; 69 ():37-49.
Chicago/Turabian StyleQian Wen Xiang; Mengjiao Fang; Ye Yuan; Yanjun Yu. 2018. "A NOVEL HYBRID EXCITATION DOUBLE-STATOR BEARINGLESS SWITCHED RELUCTANCE MOTOR." Progress In Electromagnetics Research M 69, no. : 37-49.
Yanjun Yu; Qian Wen Xiang; Xinhua Zhang; Weiyu Zhang. ANALYTICAL MODEL OF THE MAGNETIC FIELD DISTRIBUTION OF A GENERATOR COMBINED WITH MAGNETIC BEARING IN WIND TURBINES. Progress In Electromagnetics Research B 2018, 81, 25 -44.
AMA StyleYanjun Yu, Qian Wen Xiang, Xinhua Zhang, Weiyu Zhang. ANALYTICAL MODEL OF THE MAGNETIC FIELD DISTRIBUTION OF A GENERATOR COMBINED WITH MAGNETIC BEARING IN WIND TURBINES. Progress In Electromagnetics Research B. 2018; 81 ():25-44.
Chicago/Turabian StyleYanjun Yu; Qian Wen Xiang; Xinhua Zhang; Weiyu Zhang. 2018. "ANALYTICAL MODEL OF THE MAGNETIC FIELD DISTRIBUTION OF A GENERATOR COMBINED WITH MAGNETIC BEARING IN WIND TURBINES." Progress In Electromagnetics Research B 81, no. : 25-44.
The motors’ flux-linkage, current and angle obtained from the system with sensors were chosen as the sample data, and the estimation model of rotor position based on relevance vector machine (RVM) was built by training the sample data. The kernel function parameter in RVM model was optimized by the particle swarm algorithm in order to increase the fitting precision and generalization ability of RVM model. It achieved higher prediction accuracy with staying at the same on-line testing time as the RVM. And because the short on-line computation, the motor can operate at 3000 r/min in sensorless control with particle swarm optimization-relevance vector machine (PSO-RVM), which is higher than support vector machine (SVM) and neural network (NN). By simulation and experiment on the test motor, it is verified that the proposed estimation model can obtain the angle of full electrical period accurately under low speed and high speed operations in current chopped control and angle position control, which has satisfactory estimation precision.
Qianwen Xiang; Ye Yuan; Yanjun Yu; Kunhua Chen. Rotor Position Self-Sensing of SRM Using PSO-RVM. Energies 2018, 11, 66 .
AMA StyleQianwen Xiang, Ye Yuan, Yanjun Yu, Kunhua Chen. Rotor Position Self-Sensing of SRM Using PSO-RVM. Energies. 2018; 11 (1):66.
Chicago/Turabian StyleQianwen Xiang; Ye Yuan; Yanjun Yu; Kunhua Chen. 2018. "Rotor Position Self-Sensing of SRM Using PSO-RVM." Energies 11, no. 1: 66.
This paper proposes a five-degree-of-freedom (5-DOF) hybrid magnetic bearing (HMB) for direct-drive wind turbines, which can realize suspension in the 4-DOF radial and 1-DOF axial directions. Only two sets of radial control windings are employed in the proposed HMB because only one set of radial control windings can achieve the 2-DOF suspension in the radial direction. Unlike the traditional active thrust magnetic bearings, this paper uses a cylindrical rotor core without a large thrust disc in the novel HMB. The numbers of the controller, power amplifier and system volume can be reduced in the magnetic suspension system. This paper also presents the structure and basic characteristics of the proposed magnetic bearing. A precision equivalent magnetic circuit analysis of the permanent magnet ring and control magnetic field is conducted in this study, in consideration of the non-uniform distribution of magnetic density. Accordingly, the mathematical models, including the suspension force expression, are derived based on the accurate equivalent magnetic circuit. The basic principle of the structure parameter design is presented, based on the given key parameters. The accuracy of the analytical method is further validated by 3D finite element analysis.
Yanjun Yu; Weiyu Zhang; Yuxin Sun; Peifeng Xu. Basic Characteristics and Design of a Novel Hybrid Magnetic Bearing for Wind Turbines. Energies 2016, 9, 905 .
AMA StyleYanjun Yu, Weiyu Zhang, Yuxin Sun, Peifeng Xu. Basic Characteristics and Design of a Novel Hybrid Magnetic Bearing for Wind Turbines. Energies. 2016; 9 (11):905.
Chicago/Turabian StyleYanjun Yu; Weiyu Zhang; Yuxin Sun; Peifeng Xu. 2016. "Basic Characteristics and Design of a Novel Hybrid Magnetic Bearing for Wind Turbines." Energies 9, no. 11: 905.
Yanjun Yu; Huangqiu Zhu; Si Zeng. A NEW SELF-DECOUPLING MAGNETIC LEVITATION GENERATOR FOR WIND TURBINES. Progress In Electromagnetics Research M 2014, 40, 111 -118.
AMA StyleYanjun Yu, Huangqiu Zhu, Si Zeng. A NEW SELF-DECOUPLING MAGNETIC LEVITATION GENERATOR FOR WIND TURBINES. Progress In Electromagnetics Research M. 2014; 40 ():111-118.
Chicago/Turabian StyleYanjun Yu; Huangqiu Zhu; Si Zeng. 2014. "A NEW SELF-DECOUPLING MAGNETIC LEVITATION GENERATOR FOR WIND TURBINES." Progress In Electromagnetics Research M 40, no. : 111-118.