Comparative performance analysis of variable speed controllers in a wind energy system using NARMA L2 neuro-controller and Super- twisting sliding mode controller

被引：0
|
作者：
Senouci, Meriem [1 ]
Benzergua, Fadela [2 ]
Khalfallah, Naima [3 ]
机构：
[1] Univ Sci & Technol Oran Mohamed BOUDIAF, Fac Elect Engn, Appl Power Elect Lab LEPA, Dept Electrotech Engn, Bir El Djir, Algeria
[2] Univ Sci & Technol ORAN, Fac Elect Engn, Bir El Djir, Algeria
[3] Natl Polytech Sch Oran Maurice Audin ENPO MA, Dept Elect Engn, Es Senia, Algeria
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2023年 / 99卷 / 09期
关键词：
turbine model; speed control; NARMA L2; super-twisting sliding mode;
D O I：
10.15199/48.2023.09.28
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Wind turbine performance is affected by wind speed, which can cause fluctuations in the frequency and voltage levels of the grid, leading to blackouts. To preserve grid stability, it is important to regulate wind turbine speed. In this paper, a comparative study of a super-twisting sliding mode controller and a NARMA L2 neuro-controller is implemented to control variable speed in a wind generator system, regarding their overshoot value, settling time, and rise time. The proposed controller's performance has been verified in MATLAB & REG;/Simulink. The simulation results indicate the greater performance of the NARMA-L2 neuro-controller in terms of robustness and the fastest dynamic response.
引用
收藏
页码：150 / 154
页数：5
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