TY - JOUR
T1 - A new synchronous machine modeling using the field reconstruction method
AU - Kimpara, Marcio L.Magri
AU - Godoy, Ruben Barros
AU - Ribeiro, Pedro E.M.Justino
AU - Da Silva, Luiz E.Borges
AU - Fahimi, Babak
AU - Pinto, João Onofre Pereira
PY - 2014/8
Y1 - 2014/8
N2 - In this paper, a new synchronous machine (SM) modeling is presented using the field reconstruction method (FRM). The FRM for SM has been developed and covers the two main categories: non-salient and salient poles. The FRM concepts are described, and the basis function for stator and rotor is detailed for the target machines. The FRM model is then used as a tool of machine analysis. Specifically, the overall air gap flux density distribution was determined for an arbitrary condition and further the Maxwell stress tensor was used to determine the forces/torque. Moreover, the concept of FRM was used to develop a flux reconstruction formulation, in which the stator tooth flux was used to estimate the flux linkage and then the voltages under no-load condition. All the results were compared to finite element solutions and show that the FRM provides a very accurate solution with the advantage of high computational efficiency. The main contribution of this new modeling is the quickly electromagnetic flux density estimation which creates an opportunity for real-time implementations with fast interactive algorithm processing for machine performance optimization, machine control, analysis, and diagnosis.
AB - In this paper, a new synchronous machine (SM) modeling is presented using the field reconstruction method (FRM). The FRM for SM has been developed and covers the two main categories: non-salient and salient poles. The FRM concepts are described, and the basis function for stator and rotor is detailed for the target machines. The FRM model is then used as a tool of machine analysis. Specifically, the overall air gap flux density distribution was determined for an arbitrary condition and further the Maxwell stress tensor was used to determine the forces/torque. Moreover, the concept of FRM was used to develop a flux reconstruction formulation, in which the stator tooth flux was used to estimate the flux linkage and then the voltages under no-load condition. All the results were compared to finite element solutions and show that the FRM provides a very accurate solution with the advantage of high computational efficiency. The main contribution of this new modeling is the quickly electromagnetic flux density estimation which creates an opportunity for real-time implementations with fast interactive algorithm processing for machine performance optimization, machine control, analysis, and diagnosis.
KW - Electromagnetic flux density
KW - Field reconstruction method
KW - Finite element analysis.
KW - Machine modeling
KW - Synchronous machine
UR - http://www.scopus.com/inward/record.url?scp=84903738134&partnerID=8YFLogxK
U2 - 10.1007/s40313-014-0124-8
DO - 10.1007/s40313-014-0124-8
M3 - Article
AN - SCOPUS:84903738134
SN - 2195-3880
VL - 25
SP - 481
EP - 492
JO - Journal of Control, Automation and Electrical Systems
JF - Journal of Control, Automation and Electrical Systems
IS - 4
ER -