STATCOM的自适应RBF滑模控制:电压控制应用:*注:字幕不捕获在Xplore,不应使用

Zahid Afzal Thoker, S. A. Lone
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引用次数: 0

摘要

本文提出了一种基于自适应RBF神经网络的滑模控制方案,以改善孤立型风电-柴油发电系统的电压响应。滑模控制作为一种鲁棒控制方案,是在切换面设计的基础上发展起来的,但它存在抖振的缺点。因此,将RBF神经网络作为自适应控制与传统的滑模控制相结合,以获得改进的无抖振电压响应。利用MATLAB对系统进行了仿真,并对系统在负载和风力干扰下的性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive RBF sliding mode control of STATCOM: A voltage control application: *Note: Sub-titles are not captured in Xplore and should not be used
In this paper, an adaptive RBF neural network-based sliding mode control scheme is implemented over STAT-COM to improve the voltage response of an isolated wind-diesel power system. Sliding mode control as a robust control scheme is developed on the basis of switching surface design, however, it leaves the drawback of chattering. Therefore, RBF neural network is used as adaptive control along with traditional sliding mode control to obtain the improved and chattering free voltage response. Simulations using MATLAB are carried out and the performance of the system is evaluated with the system exposed to load and wind power disturbances.
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