Indirect measurement and extreme learning machine based modelling for flux linkage of doubly salient electromagnetic machine. Issue 5 (14th March 2018)

• Record Type: Journal Article
• Authors: Xu, Yanwu; Zhang, Zhuoran; Yu, Li; Bian, Zhangming
• Is Part Of: IET electric power applications. Volume 12:Issue 5(2018)
• Page Start: 643
• Page End: 650
• Publication Date: 2018-03-14
• Subjects: feedforward neural nets -- fault tolerance -- permanent magnet machines -- reliability -- electric machine analysis computing -- finite element analysis -- rotors; extreme learning machine‐based modelling -- doubly salient electromagnetic machine -- fault tolerance -- de‐excitation ability -- reliability -- hash environment applications -- safety‐critical applications -- aircraft generation systems -- strong coupled characteristics -- DSEM modelling -- system model -- stability analysis -- indirect flux linkage measurement method -- ELM‐based flux linkage modelling method -- rotor‐clamping devices -- three‐phase 12/8‐pole DSEM -- finite element analysis; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2017.0685
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : Doubly salient electromagnetic machines (DSEMs), which are characterised with fault tolerance, low cost, high reliability, and de‐excitation ability, are gaining more and more attention in safety‐critical and hash environment applications, such as the aircraft generation systems. Nevertheless, the non‐linear and strong coupled characteristics of the flux linkage is the obstruct crux in DSEM modelling. The DSEM model is the critical part of the system model, which is the foundation of theoretical analysis, control strategy developing, and stability analysis. This study is aimed to demonstrate the feasibility of indirect flux linkage measurement method, as well as the effectiveness of the extreme learning machine (ELM)‐based flux linkage modelling method. The basic principles of the indirect measurement are analysed and the measurement processes excluding rotor‐clamping devices are proposed. The ELM is employed to high‐precision flux linkage modelling with high efficiency. A three‐phase 12/8‐pole DSEM is tested to confirm the validity of the proposed modelling method. Both finite element analysis and experimental results are presented, verifying the effectiveness of the indirect flux linkage measurement and the ELM‐based modelling method.