Analysis and Optimization of a Five-phase Hybrid Excitation Flux Switching Machine Based on the Consistency and Complementarity Principle  被引量:2

在线阅读下载全文

作  者:Ming Cheng Zhiyuan Xu Minghao Tong Guishu Zhao Peng Han 

机构地区:[1]School of Electrical Engineering,Southeast University,Nanjing 210096,China [2]School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China [3]School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210023,China [4]Ansys,Inc.,San Jose,CA 95134,USA

出  处:《Chinese Journal of Electrical Engineering》2021年第3期52-64,共13页中国电气工程学报(英文)

基  金:Supported by the National Natural Science Foundation of China under Project 51937006。

摘  要:In this study,the general optimal stator poles/rotor teeth(P/T)combination equation of the E-core hybrid excitation flux switching(HEFS)machines are introduced,and a new HEFS machine is proposed and optimized.Firstly,the influences of three different P/T combinations(10/18,10/19,and 10/21)on the HEFS machines are investigated with two-dimensional(2D)finite element analyses(2D-FEA).Meanwhile,the consistency and complementarity principle of the armature windings is analyzed in detail to give reasonable explanations to the simulated results.The general optimal P/T combination equation of the E-core HEFS machines is deduced mathematically to provide an effective guidance on the selection of P/T combinations.The optimal P/T combination calculated by the general equation agrees with the simulated results which confirm the correctness of the mathematical inferences.Finally,the optimizations on the proposed HEFS machine are implemented to obtain higher output torque and better flux-regulation ratio characteristics based on which the cogging torque and torque ripple are reduced significantly.

关 键 词:Consistence and complementarity principle HEFS machines stator poles/rotor teeth combination 

分 类 号:TM331[电气工程—电机]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象