Solar plant control using genetic fuzzy PID controller

K. S. Tang; K. F. Man; G. Chen

doi:10.1109/IECON.2000.972529

Solar plant control using genetic fuzzy PID controller

Department of Electrical Engineering

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

5 Citations (Scopus)

Abstract

This paper intr duces an optimal fuzzy Proportional-Integral-Derivative (PID) ontr oiler for a solar pwer plant. The fuzzy PID controller is a discrete-time version of the conventional PID contr oiler, which pnserves the same linear structur eof the proportional, integral, and derivative parts but has constant coefficient, self-tuned contr ol gains. The constant PID control gains and other contr ol p arametersnre optimized by using the multiobjective Generic A Igorithm(GA), thereby yielding an optimal fuzzy PID controller.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Publisher	IEEE Computer Society
Pages	1686-1691
Volume	1
DOIs	https://doi.org/10.1109/IECON.2000.972529
Publication status	Published - 2000
Event	26th Annual Conference of the IEEE Electronics Society IECON 2000 - Nagoya, Japan Duration: 22 Oct 2000 → 28 Oct 2000

Publication series

Name
Volume	1

Conference

Conference	26th Annual Conference of the IEEE Electronics Society IECON 2000
Country/Territory	Japan
City	Nagoya
Period	22/10/00 → 28/10/00

Research Keywords

Analytical models
Cities and towns
Fuzzy control
Fuzzy logic
Genetics
Linear systems
Mirrors
Optimal control
Petroleum
Three-term control

UN SDGs

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

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10.1109/IECON.2000.972529

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Cite this

@inproceedings{70367eb356734332900fe9e73e8f6092,

title = "Solar plant control using genetic fuzzy PID controller",

abstract = "This paper intr duces an optimal fuzzy Proportional-Integral-Derivative (PID) ontr oiler for a solar pwer plant. The fuzzy PID controller is a discrete-time version of the conventional PID contr oiler, which pnserves the same linear structur eof the proportional, integral, and derivative parts but has constant coefficient, self-tuned contr ol gains. The constant PID control gains and other contr ol p arametersnre optimized by using the multiobjective Generic A Igorithm(GA), thereby yielding an optimal fuzzy PID controller.",

keywords = "Analytical models, Cities and towns, Fuzzy control, Fuzzy logic, Genetics, Linear systems, Mirrors, Optimal control, Petroleum, Three-term control",

author = "Tang, {K. S.} and Man, {K. F.} and G. Chen",

year = "2000",

doi = "10.1109/IECON.2000.972529",

language = "English",

volume = "1",

publisher = "IEEE Computer Society",

pages = "1686--1691",

booktitle = "IECON Proceedings (Industrial Electronics Conference)",

address = "United States",

note = "26th Annual Conference of the IEEE Electronics Society IECON 2000 ; Conference date: 22-10-2000 Through 28-10-2000",

}

TY - GEN

T1 - Solar plant control using genetic fuzzy PID controller

AU - Tang, K. S.

AU - Man, K. F.

AU - Chen, G.

PY - 2000

Y1 - 2000

N2 - This paper intr duces an optimal fuzzy Proportional-Integral-Derivative (PID) ontr oiler for a solar pwer plant. The fuzzy PID controller is a discrete-time version of the conventional PID contr oiler, which pnserves the same linear structur eof the proportional, integral, and derivative parts but has constant coefficient, self-tuned contr ol gains. The constant PID control gains and other contr ol p arametersnre optimized by using the multiobjective Generic A Igorithm(GA), thereby yielding an optimal fuzzy PID controller.

AB - This paper intr duces an optimal fuzzy Proportional-Integral-Derivative (PID) ontr oiler for a solar pwer plant. The fuzzy PID controller is a discrete-time version of the conventional PID contr oiler, which pnserves the same linear structur eof the proportional, integral, and derivative parts but has constant coefficient, self-tuned contr ol gains. The constant PID control gains and other contr ol p arametersnre optimized by using the multiobjective Generic A Igorithm(GA), thereby yielding an optimal fuzzy PID controller.

KW - Analytical models

KW - Cities and towns

KW - Fuzzy control

KW - Fuzzy logic

KW - Genetics

KW - Linear systems

KW - Mirrors

KW - Optimal control

KW - Petroleum

KW - Three-term control

UR - http://www.scopus.com/inward/record.url?scp=84969135089&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84969135089&origin=recordpage

U2 - 10.1109/IECON.2000.972529

DO - 10.1109/IECON.2000.972529

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

VL - 1

SP - 1686

EP - 1691

BT - IECON Proceedings (Industrial Electronics Conference)

PB - IEEE Computer Society

T2 - 26th Annual Conference of the IEEE Electronics Society IECON 2000

Y2 - 22 October 2000 through 28 October 2000

ER -

Solar plant control using genetic fuzzy PID controller

Abstract

Publication series

Conference

Research Keywords

UN SDGs

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