A neuro PID control of power generation using low temperature gap

Kun Young Han; Hee Jae Park; Hee Hyol Lee

A neuro PID control of power generation using low temperature gap

Kun Young Han^*, Hee Jae Park, Hee Hyol Lee

^*この研究の対応する著者

大学院情報生産システム研究科

研究成果: Conference contribution

抄録

Recently, renewable energy is increasingly attractive in solving global problem such as the environmental pollution and energy shortage. Among varieties of renewable energy resource, power generation using low temperature gap has received much attention of researchers. However, this system is difficult to control because each of the components of this system, such as heat exchanger, working fluid and turbine, has a dynamic characteristic or nonlinear factor. In order to overcome this problem, PID controller based on neural network for power generation using low temperature gap is designed to keep the stable speed of the steam turbine in real environment.

本文言語	English
ホスト出版物のタイトル	Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
ページ	495-498
ページ数	4
出版ステータス	Published - 2011 12月 1
イベント	16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita, Japan 継続期間: 2011 1月 27 → 2011 1月 29

出版物シリーズ

名前	Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

Conference

Conference	16th International Symposium on Artificial Life and Robotics, AROB '11
国/地域	Japan
City	Beppu, Oita
Period	11/1/27 → 11/1/29

ASJC Scopus subject areas

人工知能
コンピュータビジョンおよびパターン認識
人間とコンピュータの相互作用

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

他のファイルとリンク

引用スタイル

Han, KY, Park, HJ & Lee, HH 2011, A neuro PID control of power generation using low temperature gap. in Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11. Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11, pp. 495-498, 16th International Symposium on Artificial Life and Robotics, AROB '11, Beppu, Oita, Japan, 11/1/27.

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title = "A neuro PID control of power generation using low temperature gap",

abstract = "Recently, renewable energy is increasingly attractive in solving global problem such as the environmental pollution and energy shortage. Among varieties of renewable energy resource, power generation using low temperature gap has received much attention of researchers. However, this system is difficult to control because each of the components of this system, such as heat exchanger, working fluid and turbine, has a dynamic characteristic or nonlinear factor. In order to overcome this problem, PID controller based on neural network for power generation using low temperature gap is designed to keep the stable speed of the steam turbine in real environment.",

keywords = "Evaporator, Neural network, PID control, Power generation, Turbine",

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year = "2011",

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day = "1",

language = "English",

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series = "Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11",

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booktitle = "Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11",

note = "16th International Symposium on Artificial Life and Robotics, AROB '11 ; Conference date: 27-01-2011 Through 29-01-2011",

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TY - GEN

T1 - A neuro PID control of power generation using low temperature gap

AU - Han, Kun Young

AU - Park, Hee Jae

AU - Lee, Hee Hyol

PY - 2011/12/1

Y1 - 2011/12/1

N2 - Recently, renewable energy is increasingly attractive in solving global problem such as the environmental pollution and energy shortage. Among varieties of renewable energy resource, power generation using low temperature gap has received much attention of researchers. However, this system is difficult to control because each of the components of this system, such as heat exchanger, working fluid and turbine, has a dynamic characteristic or nonlinear factor. In order to overcome this problem, PID controller based on neural network for power generation using low temperature gap is designed to keep the stable speed of the steam turbine in real environment.

AB - Recently, renewable energy is increasingly attractive in solving global problem such as the environmental pollution and energy shortage. Among varieties of renewable energy resource, power generation using low temperature gap has received much attention of researchers. However, this system is difficult to control because each of the components of this system, such as heat exchanger, working fluid and turbine, has a dynamic characteristic or nonlinear factor. In order to overcome this problem, PID controller based on neural network for power generation using low temperature gap is designed to keep the stable speed of the steam turbine in real environment.

KW - Evaporator

KW - Neural network

KW - PID control

KW - Power generation

KW - Turbine

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M3 - Conference contribution

AN - SCOPUS:84866666924

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T3 - Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

SP - 495

EP - 498

BT - Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

T2 - 16th International Symposium on Artificial Life and Robotics, AROB '11

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ER -

A neuro PID control of power generation using low temperature gap

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

UN SDG

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