DocumentCode :
3210703
Title :
Excitation and Steam-valving Control of Power Systems using Adaptive Neural Design
Author :
Yuelong Liu ; Cong Wang ; Xiurong Zhong
Author_Institution :
Center for Control & Optimization & Coll. of Autom., South China Univ. of Technol., Guangzhou, China
fYear :
2006
fDate :
7-11 Aug. 2006
Firstpage :
1156
Lastpage :
1161
Abstract :
This paper presents a multi-input/multi-output (MIMO) controller for a single machine infinite bus power system using adaptive neural design. Firstly, rather than representing the power system as Hamiltonian system with dissipation, the single machine infinite bus power system is divided into two-sub systems and is transformed into a block-triangular form. Secondly, we design for each subsystem an adaptive neural controller. Semiglobal uniform ultimate boundedness of all the signals in the closed-loop of the single machine infinite bus power system is guaranteed. The outputs of the system are proven to converge to a small neighborhood of the desired trajectories. The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters.
Keywords :
MIMO systems; adaptive control; closed loop systems; neurocontrollers; power system control; MIMO system; adaptive neural control; adaptive neural controller; backstepping; closed-loop system; multi-input-multi-output controller; single machine infinite bus power system; steam-valving control; Adaptive control; Adaptive systems; Control systems; Nonlinear control systems; Power system control; Power system modeling; Power system stability; Power system transients; Power systems; Programmable control; Adaptive neural control; backstepping; multi-input/multi-output (MIMO) system; neural networks (NN); single machine infinite bus power system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
Type :
conf
DOI :
10.1109/CHICC.2006.280531
Filename :
4060262
Link To Document :
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