Self-tuning of sensorless switched reluctance motor drives with online parameter identification

Author

Islam, Mohammad S. ; Husain, Iqbal

Author_Institution

Dept. of Electr. Eng., Akron Univ., OH, USA

Volume

3

fYear

2000

fDate

2000

Firstpage

1738

Abstract

The self-tuning capability of sensorless switched reluctance motor (SRM) drives is presented in this paper. A nonlinear machine model with online parameter identification is adapted with a sliding-mode observer (SMO) based sensorless technique. The parameter identification method makes position and speed estimation more accurate and robust towards any measurement noise and model uncertainty. Superior dynamic performance is achieved by updating machine parameters in real time. Online identification enables self-tuning of sensorless SRM drives without the need for a priori knowledge of the machine characteristics

Keywords

adaptive control; control system analysis; control system synthesis; machine theory; machine vector control; observers; parameter estimation; position control; reluctance motor drives; self-adjusting systems; variable structure systems; velocity control; control simulation; dynamic performance; nonlinear machine model; online parameter identification; position estimation; robustness; self-tuning capability; sensorless control technique; sensorless switched reluctance motor drives; sliding-mode observer; speed estimation; Manufacturing; Noise measurement; Noise robustness; Packaging machines; Parameter estimation; Position measurement; Reluctance machines; Reluctance motors; Tuning; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 2000. Conference Record of the 2000 IEEE

Conference_Location

Rome

ISSN

0197-2618

Print_ISBN

0-7803-6401-5

Type

conf

DOI

10.1109/IAS.2000.882115

Filename

882115