Title :
Speed sensorless induction motor drives for electrical actuators: schemes, trends and tradeoffs
Author :
Elbuluk, M.E. ; Kankam, D.
Author_Institution :
Dept. of Electr. Eng., Akron Univ., OH, USA
Abstract :
This paper evaluates documented schemes for speed sensorless drives, and discusses the trends and tradeoffs involved in selecting a particular scheme. These schemes combine the attributes of the direct and indirect field-oriented control (FOG) or use model adaptive reference systems (MRAS) with a speed-dependent current model for flux estimation which tracks the voltage model-based flux estimator. Many factors are important in comparing the effectiveness of a speed sensorless scheme. Among them are the wide speed range capability, motor parameter insensitivity and noise reduction. Although a number of schemes have been proposed for solving the speed estimation, zero-speed FOC with robustness against parameter variations still remains an area of research for speed sensorless control.
Keywords :
Kalman filters; electric actuators; fuzzy neural nets; induction motor drives; intelligent control; model reference adaptive control systems; parameter estimation; electrical actuators; field-oriented control; flux estimators; induction motor drives; model adaptive reference systems; noise reduction; parameter variations; robustness; rotor flux-oriented performance; sensorless control; speed estimator; speed sensorless drives; Actuators; Adaptive control; Adaptive systems; Induction motor drives; Noise reduction; Noise robustness; Programmable control; Robust control; Sensorless control; Voltage control;
Conference_Titel :
Aerospace and Electronics Conference, 1997. NAECON 1997., Proceedings of the IEEE 1997 National
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-3725-5
DOI :
10.1109/NAECON.1997.617772