Title :
Improvement of control characteristics of interior permanent magnet synchronous motor for electric vehicle
Author :
Park, Jung-Woo ; Koo, Dae-Hyun ; Kim, Jong-Moo ; Kim, Heung-Geun
Author_Institution :
Ind. Appl. Res. Center, Korea Electrotechnol. Res. Inst., Changwon, South Korea
Abstract :
This paper describes a method to improve the control characteristics of an interior permanent magnet synchronous motor for an electric vehicle. At the motor for electric vehicle, d- and q-axis inductances are varied to a great extent. So, variation characteristics for d- and q-axis inductance are analyzed as function of current magnitude and also current phase angle. The proposed method makes use of the learning capability of neural networks to implement an adaptive vector control structure. Also, a distribution law of torque reference to improve the driving characteristics of a two motor-driven EV is proposed. A advanced performances are verified through numerical methods and experiments
Keywords :
control system analysis; control system synthesis; electric current control; electric vehicles; inductance; learning (artificial intelligence); machine control; neurocontrollers; permanent magnet motors; synchronous motors; traction motors; adaptive vector control structure; control characteristics improvement; control design; control performance; control simulation; current magnitude; current phase angle; d-axis inductance; electric vehicle; interior permanent magnet synchronous motor; learning capability; neural networks; q-axis inductance; torque reference distribution law; variation characteristics; Adaptive control; Electric vehicles; Inductance; Induction motors; Magnetic analysis; Neural networks; Permanent magnet motors; Permanent magnets; Programmable control; Synchronous motors;
Conference_Titel :
Industry Applications Conference, 2000. Conference Record of the 2000 IEEE
Conference_Location :
Rome
Print_ISBN :
0-7803-6401-5
DOI :
10.1109/IAS.2000.882136
