Hierarchical genetic fuzzy controller for a solar power plant

J. Y. Ke; K. S. Tang; K. F. Man; P. C. K. Luk

doi:10.1109/ISIE.1998.711667

Hierarchical genetic fuzzy controller for a solar power plant

J. Y. Ke
, K. S. Tang^*
, K. F. Man
, P. C. K. Luk

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

13 Citations (Scopus)

Abstract

To regulate the significant variations of the dynamic characteristics of the distributed collector field in a solar power plant, in this paper, an unique Hierarchical Genetic Algorithms (HGA) has been employed for the design and optimization of the fuzzy logic controller for this purpose. This method not only fulfils the required performance, but also minimize the number of fuzzy membership functions and rules applied. This can be a valued asset for the design of a simple hardware implementable fuzzy controller. © 1998 IEEE

Original language	English
Title of host publication	IEEE International Symposium on Industrial Electronics Proceedings
Subtitle of host publication	ISIE'98
Publisher	IEEE
Pages	584-588
Volume	2
ISBN (Print)	0-7803-4756-0
DOIs	https://doi.org/10.1109/ISIE.1998.711667
Publication status	Published - Jul 1998
Event	1998 International Symposium on Industrial Electronics (ISIE 1998) - University of Pretoria, Pretoria, South Africa Duration: 7 Jul 1998 → 10 Jul 1998

Conference

Conference	1998 International Symposium on Industrial Electronics (ISIE 1998)
Place	South Africa
City	Pretoria
Period	7/07/98 → 10/07/98

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/ISIE.1998.711667

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title = "Hierarchical genetic fuzzy controller for a solar power plant",

abstract = "To regulate the significant variations of the dynamic characteristics of the distributed collector field in a solar power plant, in this paper, an unique Hierarchical Genetic Algorithms (HGA) has been employed for the design and optimization of the fuzzy logic controller for this purpose. This method not only fulfils the required performance, but also minimize the number of fuzzy membership functions and rules applied. This can be a valued asset for the design of a simple hardware implementable fuzzy controller. {\textcopyright} 1998 IEEE",

author = "Ke, \{J. Y.\} and Tang, \{K. S.\} and Man, \{K. F.\} and Luk, \{P. C. K.\}",

year = "1998",

month = jul,

doi = "10.1109/ISIE.1998.711667",

language = "English",

isbn = "0-7803-4756-0",

volume = "2",

pages = "584--588",

booktitle = "IEEE International Symposium on Industrial Electronics Proceedings",

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note = "1998 International Symposium on Industrial Electronics (ISIE 1998) ; Conference date: 07-07-1998 Through 10-07-1998",

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AU - Ke, J. Y.

AU - Tang, K. S.

AU - Man, K. F.

AU - Luk, P. C. K.

PY - 1998/7

Y1 - 1998/7

N2 - To regulate the significant variations of the dynamic characteristics of the distributed collector field in a solar power plant, in this paper, an unique Hierarchical Genetic Algorithms (HGA) has been employed for the design and optimization of the fuzzy logic controller for this purpose. This method not only fulfils the required performance, but also minimize the number of fuzzy membership functions and rules applied. This can be a valued asset for the design of a simple hardware implementable fuzzy controller. © 1998 IEEE

AB - To regulate the significant variations of the dynamic characteristics of the distributed collector field in a solar power plant, in this paper, an unique Hierarchical Genetic Algorithms (HGA) has been employed for the design and optimization of the fuzzy logic controller for this purpose. This method not only fulfils the required performance, but also minimize the number of fuzzy membership functions and rules applied. This can be a valued asset for the design of a simple hardware implementable fuzzy controller. © 1998 IEEE

UR - https://www.scopus.com/pages/publications/0031619794

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U2 - 10.1109/ISIE.1998.711667

DO - 10.1109/ISIE.1998.711667

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-4756-0

VL - 2

SP - 584

EP - 588

BT - IEEE International Symposium on Industrial Electronics Proceedings

PB - IEEE

T2 - 1998 International Symposium on Industrial Electronics (ISIE 1998)

Y2 - 7 July 1998 through 10 July 1998

ER -

Hierarchical genetic fuzzy controller for a solar power plant

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