Adaptive RBF sliding mode control of STATCOM: A voltage control application

Abstract

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.