Backstepping Control Method of Cascaded STATCOM Based on a Current Observer

被引：0
|
作者：
Yu H.-L. [1 ]
Wang X. [1 ]
Yang D. [1 ,2 ]
Li W.-J. [1 ,3 ]
机构：
[1] School of Information Science & Engineering, Northeastern University, Shenyang
[2] Key Laboratory of Intelligent Industry Data Analysis and Optimization of the Ministry of Education, Northeastern University, Shenyang
[3] School of Mechanical Engineering, Liaoning Shihua University, Fushun
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2021年 / 42卷 / 06期
关键词：
A high gain observer; Backstepping; Cascaded static synchronous compensator; Lyapunov theory; Radial basis function neural network;
D O I：
10.12068/j.issn.1005-3026.2021.06.001
中图分类号：
学科分类号：
摘要：
Aiming at the nonlinearity and uncertainty of the cascaded static synchronous compensator (STATCOM) system in power grid, a cascaded STATCOM backstepping control method was proposed based on a high gain adaptive observer. In order to estimate the output current value of STATCOM, an adaptive observer was designed based on neural network. The uncertain disturbance was estimated by introducing radial basis function (RBF) neural network. Through feedback design, the system was linearized. The back-stepping method was used to design the voltage controller. Based on Lyapunov's asymptotic stability theory, the output reactive current control of cascaded STATCOM was obtained. The simulation and experimental results further verify the correctness and effectiveness of the proposed control method. © 2021, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：761 / 767
页数：6
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