DocumentCode :
468254
Title :
SVM Approximate Based Comprehensive Nonlinear Control Strategy for TCSC and Generator Governor
Author :
Li, Yongjun ; Yuan, Xiaofang
Author_Institution :
Hunan Univ., Changsha
Volume :
2
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
523
Lastpage :
528
Abstract :
A novel decoupling controller based on support vector machines (SVM) modeling is proposed for thyristor-controlled series compensation (TCSC) and generator governor. The decoupling control law can be derived directly via Taylor expansion and is implemented straightforwardly using SVM modeling. Only general SVM identification technique is involved in both model development and controller design without extra training. The robustness of the stability and the performance of the controller is rigorously established by using Lyapunov method. Simulations demonstrate the effectiveness of the proposed control scheme.
Keywords :
Lyapunov methods; autoregressive moving average processes; compensation; control system synthesis; electric generators; identification; machine control; nonlinear control systems; power engineering computing; robust control; support vector machines; thyristor applications; Lyapunov method; NARMA model; SVM identification technique; TCSC; Taylor expansion; comprehensive nonlinear control strategy; controller design; decoupling controller; generator governor; robust control; stability; support vector machines; thyristor-controlled series compensation; Control systems; Educational institutions; Lyapunov method; Neural networks; Power capacitors; Robust control; Robust stability; Support vector machines; Taylor series; Thyristors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.553
Filename :
4406133
Link To Document :
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