Title :
Self-tuning of machine parameters in switched reluctance motor drives
Author :
Mir, Sayeed ; Islam, Mohammad S. ; Sebastian, Tomy ; Hussain, Iqbal
Author_Institution :
Delphi Autom. Syst., Saginaw, MI, USA
Abstract :
A novel online identification method to determine the switched reluctance motor (SRM) characteristics for high-performance operation is presented. The machine phase resistance and the parameters of the flux-based SRM model are updated simultaneously so that any dynamic change in the motor characteristics is transparent to the controller. Simulation and experiment demonstrate the validity of the proposed self-tuning algorithm for SRM parameters. The method eliminates the parameter sensitivity making the controller robust for high performance operation.
Keywords :
control system analysis; control system synthesis; machine control; machine testing; machine theory; parameter estimation; reluctance motor drives; robust control; self-adjusting systems; sensitivity analysis; velocity control; control design; control performance; control simulation; dynamic change; flux-based SRM model; high-performance operation; machine parameter self-tuning; machine phase resistance; motor characteristics; online identification method; parameter sensitivity; robustness; self-tuning control algorithm; switched reluctance motor drives; IEEE members; Parameter estimation; Phase estimation; Reluctance machines; Reluctance motors; Sensorless control; Testing; Torque; Vehicle dynamics; Voltage;
Conference_Titel :
Industry Applications Conference, 2001. Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-7114-3
DOI :
10.1109/IAS.2001.955913
