Title :
A novel inertia identification method for speed control of electric machine
Author :
Hong, Seok-Joon ; Kim, Heui-Wook ; Sul, Seung-Ki
Author_Institution :
LGIS R&D Center, Kyoungki-do, South Korea
Abstract :
In most servomotor drive applications, a precise speed control is required irrespective of load variations and frequent speed changes. To achieve high performance speed control with better transient characteristics. It is necessary to consider the moment of inertia of the system in determining the controller gains. This paper presents a new technique of the inertia identification using an extended Kalman filter which is an optimal full order estimator of a nonlinear system. An inertia term of the disturbance observer and controller gains are readjusted by this identification technique. The validity and effectiveness of this method are confirmed by experimental results on a PM synchronous motor
Keywords :
Kalman filters; controllers; machine control; observers; parameter estimation; permanent magnet motors; servomotors; synchronous motor drives; velocity control; PM synchronous motor; controller gains; disturbance observer; electric machine; extended Kalman filter; high performance speed control; inertia identification method; load variations; nonlinear system; optimal full order estimator; servomotor drive; speed changes; speed control; transient characteristics; Control systems; Electric machines; Load management; Motor drives; Observers; Servomechanisms; State estimation; Torque; Velocity control; Velocity measurement;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
DOI :
10.1109/IECON.1996.566056
