Position Sensorless Drive and Online Parameter Estimation for Surface-Mounted PMSMs Based on Adaptive Full-State Feedback Control
| Autor: | Yu Yao, Yunkai Huang, Fei Peng, Jianning Dong |
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| Rok vydání: | 2020 |
| Předmět: |
Lyapunov function
surface-mounted permanent magnet synchronous machines (PMSM) Computer science Estimation theory position sensorless drive 020208 electrical & electronic engineering 02 engineering and technology Stability (probability) Flux linkage Inductance Position (vector) Control theory Magnet Full state feedback 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering parameter estimation |
| Zdroj: | IEEE Transactions on Power Electronics, 35(7) |
| ISSN: | 1941-0107 0885-8993 |
| DOI: | 10.1109/tpel.2019.2957058 |
| Popis: | In this article, a position sensorless drive and online parameter estimation method for surface-mounted permanent magnet synchronous machines-based on adaptive full-state feedback current control is proposed. The position sensorless drive is established by the detection of the back-electromotive force in the $\gamma \delta$ synchronous reference frame, which is effective at the medium-speed and high-speed range. Besides, accurate estimation of the winding resistance, the stator inductance, and the flux linkage of the PM is achieved independently. Compared with the traditional recursive-least-square methods, the proposed parameter identification method can be easily implemented because of the significantly reduced execution time. With the help of the parameter identification, the precise position estimation can be achieved by the proposed sensorless control method regardless of the parameter variation during the operation. The stability of the proposed method is proved by the Lyapunov-function method. Finally, the effectiveness of the proposed method is validated by the simulation and experimental results. |
| Databáze: | OpenAIRE |
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