Co‐excitation control of a four‐degree‐of‐freedom magnetic bearing switched reluctance motor based on mathematical models

Author:

Liu Zeyuan123ORCID,Wu Xingcheng1,Cai Jun45,Yang Yan1,Liu Chengzi1ORCID

Affiliation:

1. College of Automation & College of Artificial Intelligence Nanjing University of Posts and Telecommunications Nanjing China

2. Key Laboratory of Special Machine and High Voltage Apparatus (Shenyang University of Technology) Ministry of Education Shenyang China

3. National Rare Earth Permanent Magnet Motor Engineering Technology Research Center Shenyang University of Technology Shenyang China

4. College of Automation Nanjing University of Information Science and Technology Nanjing China

5. School of Mechanical and Electrical Engineering Anhui Jianzhu University Hefei China

Abstract

AbstractIn traditional magnetic bearing motors, the magnetic bearing and the motor are usually driven and controlled separately, resulting in higher controller costs and limiting further expansion of their applications. The author presents a four‐degree‐of‐freedom (4DOF) magnetic bearing switched reluctance motor (MBSRM), consisting of two 8‐pole active radial magnetic bearings (RMBs) and two two‐phase 4/2‐pole switched reluctance motors (SRMs), driven simultaneously by a set of asymmetrical power converters together. Firstly, the structure, winding configuration and co‐excitation working principles of the 4DOF‐MBSRM system are described in detail. Then the radial force formula for an 8‐pole RMB and the torque mathematical model for a 4/2‐pole SRM are briefly derived based on equivalent magnetic circuits, respectively. Furthermore, a co‐excitation control strategy for the 4DOF MBSRM is developed wherein an instantaneous radial force is used to control its rotor shaft levitation, an instantaneous torque is employed for rotational control at low and medium speeds, and an average torque is used for high speed operation. Finally, the good performance of the co‐excitation control for the proposed 4DOF‐MBSRM is proved by simulation analysis.

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

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