Improved performance of sliding mode observer using parameter adaptation in sensorless IPMSM drive
| Autor: | Mongkol Konghirun, Peerasin Phowanna, Wanchak Lenwari, Ekkachai Mujjalinvimut, Sudchai Boonto |
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| Rok vydání: | 2017 |
| Předmět: |
Inductance
Improved performance Observer (quantum physics) Computer science Control theory Position (vector) 020208 electrical & electronic engineering 0202 electrical engineering electronic engineering information engineering Mode (statistics) Adaptation (eye) 02 engineering and technology Saturation (magnetic) |
| Zdroj: | 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA). |
| DOI: | 10.1109/iciea.2017.8283101 |
| Popis: | This paper presents a method for improving the performance of sliding mode observer (SMO) in sensorless interior permanent magnet synchronous motor (IPMSM) drive. Precise motor parameters are necessary for position estimation. Especially, in the case of the magnetic saturation, motor parameter error influences of the right motor parameter. In this proposed method, the recursive least square (RLS) method is used to identify the inductance parameters on the discrete-time model. Furthermore, the identified inductances are adapted to improve the performance of the system. Simulation results mainly verify the proposed method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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