Title :
Dynamic simulation of a linear variable reluctance motor using coupled network models
Author :
Chayopitak, Nattapon ; Taylor, David G.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
The objective of this paper is to simulate and study the dynamics of a linear variable reluctance motor using coupled network models. The need for an explicit functional expression to describe flux linkage has been eliminated, since the magnetic subsystem is coupled to, and simultaneously solved with, the dynamics of the electrical and mechanical subsystems. This paper focuses on the development of a coupled network model that incorporates the effects of magnetic saturation and spatial harmonics, and also includes the application of position control software interacting with the physical system.
Keywords :
control engineering computing; coupled circuits; position control; power engineering computing; reluctance motors; coupled network models; linear variable reluctance motor; magnetic saturation; magnetic subsystem; position control software; spatial harmonics; Computational modeling; Computer networks; Computer simulation; Couplings; Electric machines; Magnetic flux; Reluctance motors; Saturation magnetization; Solid modeling; Synchronous motors;
Conference_Titel :
System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on
Print_ISBN :
0-7803-8281-1
DOI :
10.1109/SSST.2004.1295640