Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor
| Autor: | Chunlei Zhang, Peiqing Ye, Leyang Yan, Donglai Zhang, Ziping Bai |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
010302 applied physics
Stator Computer science 020208 electrical & electronic engineering Process (computing) 02 engineering and technology Motion control 01 natural sciences Flux linkage law.invention Harmonic analysis Identification (information) Extended Kalman filter law Control theory Position (vector) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). |
| Popis: | Accurate motor parameters is required for high-performance motion control. In this paper, the multi-parameter identification of long-mover permanent magnet linear motor is discussed. Firstly, the law of flux linkage variation with mover position is derived, considering the change of valid coupling length of PM and coils. Then, the feasibility of simultaneous identification of flux linkage and stator resistance is analyzed and confirmed. Finally, the extended Kalman filter is used to accomplish the multi-parameter online identification process. Experimental results prove the feasibility and effectiveness of multi-parameter identification of long-mover permanent magnet linear motor. |
| Databáze: | OpenAIRE |
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