Excitation and steam-valving control of power systems using adaptive neural design

被引：0

作者：

Liu, Yuelong ^{[1
]}

Wang, Cong ^{[1
]}

Zhong, Xiurong ^{[1
]}

机构：

[1] S China Univ Technol, Ctr Control & Optimizat, Guangzhou 510640, Peoples R China

来源：

2006 CHINESE CONTROL CONFERENCE, VOLS 1-5 | 2006年

关键词：

adaptive neural control; single machine infinite bus power system; multi-input/multi-output (MMO) system; backstepping; neural networks (NN);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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-subsystems 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.

引用

页码：182 / +

页数：2

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