Study on Sliding Mode Control with RBF Network for DSTATCOM

Abstract:

For the problems of parameters disturbance, nonlinear and uncertainty of distribution static compensator (DSTATCOM), this paper studies on sliding mode control based on radial basis function (RBF) network. The fast tracking of DSTATCOM reactive current is achieved by using of RBF neural networks and equivalent sliding mode control. The method has a strong adaptability and robustness for load disturbances and system parameters change, and integrates the advantages of neural network and sliding mode control, so it is an ideal intelligent control strategy .The MATLAB simulation results show that the controller has good dynamic and static quality, and provides an effective way for improving the performance of DSTATCOM.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 7394-7399
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.7394
• Online since: January 2012
• Authors: Jian Hua Liu, Gang Li, Cao Yuan Ma, Cheng Chen, Chen Zhao
• Keywords: DSTATCOM, RBF Network, Sliding Mode Control (SMC)

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