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 :
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 (EV). At the motor for an electric vehicle, d- and q-axes inductances are varied to a great extent. Therefore, variation characteristics for d- and q-axes inductances are analyzed as a function of both current magnitude and current phase angle. A new vector control algorithm is proposed that makes use of the learning capability of a neural network to implement d- and q-axes inductances to be varied according to current magnitude and also current phase angle. Also, a distribution law of torque reference to improve the driving characteristics of the two motor-driven EV is proposed. Advanced performance is verified through numerical methods and experiments
Keywords :
control system analysis; control system synthesis; electric vehicles; inductance; learning (artificial intelligence); machine testing; machine vector control; neurocontrollers; permanent magnet motors; synchronous motors; traction motors; control characteristics improvement; control design; control simulation; current magnitude; current phase angle; driving characteristics; electric vehicle; inductances; interior permanent-magnet synchronous motor; learning capability; neural network; torque reference distribution law; vector control algorithm; Electric vehicles; Induction motors; Industry Applications Society; Machine vector control; Neural networks; Prototypes; Synchronous motors; Torque control; Traction motors; Wheels;
Journal_Title :
Industry Applications, IEEE Transactions on
