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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Divandari, M. Brazamini, R. Dadpour, A. Jazaeri, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Islamic Azad University Branch of Aliabad Katul, Iran (Divandari, M.) || Ferdowsi University of Mashhad, Iran (Dadpour, A.) || Amirkabir University of Technology, Tehran, Iran (Brazamini, R.) || Semnan University, Iran (Jazaeri, M.) |
| Abstract | This paper presents a high performance switched reluctance motor (SRM) drive based on dynamic observer. The dynamic observer estimates the rotor position and speed for wide speed range. As well, observer gains online will be corrected by using fuzzy logic hybrid algorithm (FLHA) with concern of estimation errors. In addition, a fuzzy logic current compensator (FLCC) for reducing torque ripple has been presented. In the regions that torque reduces, the FLCC, inject additional current for each phase currents. This drive has been simulated with MATLAB/SIMULINK for nonlinear model of SRM. Simulation results show that proposed drive will estimate the rotor position and speed with high precision for all speeds (near zero speeds up to rated speed). Also, FLCC minimize the torque ripple and reduce speed estimation error, too. This drive has the advantages of robustness, high reliability and excellent performance at steady state. |
| Starting Page | 847 |
| Ending Page | 852 |
| File Size | 6280458 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424443475 |
| DOI | 10.1109/ISIE.2009.5216331 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-05 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Torque Minimization Fuzzy logic Reluctance motors Reluctance machines Estimation error Rotors Mathematical model Robustness Steady-state torque ripple minimization Switched reluctance motor dynamic observer fuzzy logic |
| Content Type | Text |
| Resource Type | Article |
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