Abstract
The on-line least-square identification method is applied for the linear switched reluctance motor (LSRM) based closed-loop control system. Since switched reluctance motors have severe nonlinear characteristics, on-line system identification for model parameters is the basis for precise modeling and effective control algorithms. By on-line parameter identification of LSRM with least-square scheme, the parameter characteristics can be predicted despite of operation variations. The experimental results demonstrate the identification scheme has fast response and converging speed and the capability of effective parameter prediction under different conditions.
Original language | English |
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Title of host publication | 19th International Conference on Electrical Machines, ICEM 2010 |
DOIs | |
Publication status | Published - 6 Dec 2010 |
Event | 19th International Conference on Electrical Machines, ICEM 2010 - Rome, Italy Duration: 6 Sept 2010 → 8 Sept 2010 |
Conference
Conference | 19th International Conference on Electrical Machines, ICEM 2010 |
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Country/Territory | Italy |
City | Rome |
Period | 6/09/10 → 8/09/10 |
Keywords
- dSPACE 1104
- Least-square
- LSRM
- On-line identification
- Parameter convergence
- PD controller
- Switched reluctance
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering