Title :
Improved parameter modeling of interior permanent magnet synchronous motor based on finite element analysis
Author :
Kang, Gyu-Hong ; Hong, Jung-Pyo ; Kim, Gyu-Tak ; Park, Jung-Woo
Author_Institution :
Dept. of Electr. Eng., Changwon Nat. Univ., Kyungnam, South Korea
fDate :
7/1/2000 12:00:00 AM
Abstract :
This paper presents an investigation of the parameter modeling on the basis of an improved finite element (FE) analysis in which the variable frequency characteristic in field weakening is considered in interior permanent magnet synchronous motors (IPMSM). The parameters of IPMSM have a nonlinear characteristic under variable load conditions and due to the current phase angle in a system fed inverter. From the analysis of FE, a new vector control algorithm is proposed by a neural network using a variable inductance estimator. The performances of variable frequency are simulated by using the proposed algorithm, and the validity of the proposed FE analysis is compared with experimental results
Keywords :
finite element analysis; inductance; invertors; machine theory; machine vector control; neural nets; permanent magnet motors; synchronous motors; current phase angle; field weakening; finite element analysis; interior permanent magnet synchronous motor; neural network; nonlinear characteristic; parameter modeling; system fed inverter; variable frequency characteristic; variable inductance estimator; variable load conditions; vector control algorithm; Algorithm design and analysis; Finite element methods; Frequency; Inductance; Inverters; Machine vector control; Magnetic analysis; Neural networks; Permanent magnet motors; Permanent magnets;
Journal_Title :
Magnetics, IEEE Transactions on
