A NEURAL NETWORK REGULATOR FOR TURBOGENERATORS

被引：99

作者：

WU, QH

HOGG, BW

IRWIN, GW

机构：

[1] Department of Electrical Engineering, Queen’s University of Belfast

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 1992年 / 3卷 / 01期

关键词：

Turbogenerators;

D O I：

10.1109/72.105421

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

This paper presents a neural network (NN) based regulator for nonlinear, multivariable turbogenerator control. A hierarchical architecture of an NN is proposed for regulator design, consisting of two subnetworks, which are used for input-output (I-O) mapping and control respectively, based on the back-propagation (BP) algorithm. The regulator has the flexibility for accepting more sensory information to cater for multi-input, multioutput systems. Its operation does not require a reference model or inverse system model and it can produce more acceptable control signals than are obtained by using sign of plant errors during training. I-O mapping of turbogenerator systems using NN's has been investigated and the regulator has been implemented on a complex turbogenerator system model. Simulation results show satisfactory control performance and illustrate the potential of the NN regulator in comparison with an existing adaptive controller.

引用

页码：95 / 100

页数：6

共 12 条

[1]

Astrom K.J., 2013, ADAPTIVE CONTROL

[2]

CHEN FC, 1989, SEP P IEEE INT S INT, P274

[3]

HOGG BW, 1981, MODELLING DYNAMIC SY, V2, pCH5

[4]

JORDAN MI, 1990, ADV NEURAL INFORMATI, V2, P324

[5]

Narendra K S, 1990, IEEE Trans Neural Netw, V1, P4, DOI 10.1109/72.80202

[6]

NGUYEN D, 1989, JUN P INT JOINT C NE, V2

[7]

PSALTIS D, 1987, 1ST P IEEE INT C NEU, V4, P551

[8]

Rumelhart DE, 1986, ENCY DATABASE SYST, P45

[9]

SAERENS M, 1989, 1 IEEE INT C NEUR NE, P211

[10]

SBARBARO D, 1990, IJCNN90

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