Dongyu Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Dongyu Li has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Hongwei Gao
School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, China
1 shared publication - Jiahui Yu
Innovation Center for Smart Medical Technologies Devices, Binjiang Institute of Zhejiang University, Hangzhou, China
1 shared publication - Jianbin Wang
Ocean College, Zhejiang University, Hangzhou 316021, China
1 shared publication - Tian Zhang
Beijing Bolean Intelligence Technology Co., Ltd., Beijing 100000, China
1 shared publication - Xuna Wang
School of Mechanical Automation, Wuhan University of Science and Technology, Wuhan, China
1 shared publication - Zide Liu
School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang 110000, China
1 shared publication
Latest Publications
- Open Access
A Novel Motor Structure with Extended Particle Swarm Optimization for Space Robot Control
This paper studies motor structures and optimization methods for space robots, proposing an optimized stepped rotor bearingless switched reluctance motor (BLSRM) to solve the poor self-starting ability and significant torque fluctuation issues in traditional BLSRMs. Firstly, the advantages and disadvantages of the 12/14 hybrid stator pole type BLSRM were analyzed, and a stepped rotor BLSRM structure was designed. Secondly, the particle swarm optimization (PSO) algorithm was improved and combined with finite element analysis for motor structure parameter optimization. Subsequently, a performance analysis of the original and new motors was conducted using finite element analysis software, and the results showed that the stepped rotor BLSRM had an improved self-starting ability and significantly reduced torque fluctuation, verifying the effectiveness of the proposed motor structure and optimization method.
Open AccessA Novel Motor Structure with Extended Particle Swarm Optimization for Space Robot Control
This paper studies motor structures and optimization methods for space robots, proposing an optimized stepped rotor bearingless switched reluctance motor (BLSRM) to solve the poor self-starting ability and significant torque fluctuation issues in traditional BLSRMs. Firstly, the advantages and disadvantages of the 12/14 hybrid stator pole type BLSRM were analyzed, and a stepped rotor BLSRM structure was designed. Secondly, the particle swarm optimization (PSO) algorithm was improved and combined with finite element analysis for motor structure parameter optimization. Subsequently, a performance analysis of the original and new motors was conducted using finite element analysis software, and the results showed that the stepped rotor BLSRM had an improved self-starting ability and significantly reduced torque fluctuation, verifying the effectiveness of the proposed motor structure and optimization method.