Event-triggered sliding mode observer based on particle swarm optimization for fault detection of the doubly fed induction generator for wind power systems
Author:
Funder
the key scientific research project of Hunan Provincial Department of Education
the Natural Science Foundation of Hunan Province in China
Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-04504-6.pdf
Reference21 articles.
1. Behera AK, Bandyopadhyay B (2016) Robust sliding mode control: an event-triggering approach. IEEE Trans Circuits Syst II Express Briefs 64(2):146–150
2. Hameed SM (2016) Improvement the DFIG active power with variable speed wind using particle swarm optimization. Diyala J Eng Sci 9(2):12–26
3. Jia L, Zhao X (2019) An improved particle swarm optimization (PSO) optimized integral separation PID and its application on central position control system. IEEE Sens J 19(16):7064–7071
4. Khodakaramzadeh S, Ayati M, Haeri Yazdi MR (2021) Fault diagnosis of a permanent magnet synchronous generator wind turbine. J Electr Comput Eng Innov (JECEI) 9(2):143–152
5. Li S, Wang H, Aitouche A, Christov N (2018) Sliding mode observer design for fault and disturbance estimation using Takagi-Sugeno model. Eur J Control 44:114–122
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