Title: RBF networks based approximate decoupling controller

Authors: Qian He, Xiaofang Yuan, Yong Wang

Addresses: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China; Network Information Center, Guilin University of Electronic Technology, Guilin, 541004, China. ' College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China. ' Network Information Center, Guilin University of Electronic Technology, Guilin, 541004, China

Abstract: A radial basis function (RBF) networks based approximate decoupling controller is proposed for the thyristor-controlled series compensation (TCSC) and governor in this paper. Based on a direct linearisation method from the input-output model of this coupled plant, the decoupling control law was derived directly using Taylor expansion approach and was implemented using RBF networks modelling. The robustness of the stability and the performance of a closed-loop system was established using Lyapunov method. Simulations demonstrate the effectiveness of the proposed decoupling controller.

Keywords: nonlinear systems; RBF neural networks; approximate modelling; system identification; power systems; decoupling control; thyristor-controlled series compensation; TCSC; simulation; stability.

DOI: 10.1504/IJMIC.2010.035276

International Journal of Modelling, Identification and Control, 2010 Vol.11 No.1/2, pp.26 - 34

Published online: 20 Sep 2010 *

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