A learning control of unused energy power generation

Satomi Shikasho; Ji Sun Shin; C. Y. Cui; Hee Hyol Lee

A learning control of unused energy power generation

Satomi Shikasho^*, Ji Sun Shin, C. Y. Cui, Hee Hyol Lee

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In recent years, the new clean energy without dependence on the fossil fuel is required. The control system of the power generation using low temperature gap is designed to keep the speed of the steam turbine in real environment. This system includes nonlinearity and the characteristics of the system change in real environment with the aged deterioration. The evaporator, the condenser, and the turbine systems are modeled, and the PID control with the ability of learning based on BP neural network is designed.

Original language	English
Title of host publication	Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
Pages	1029-1032
Number of pages	4
Publication status	Published - 2010 Dec 1
Event	15th International Symposium on Artificial Life and Robotics, AROB '10 - Beppu, Oita, Japan Duration: 2010 Feb 4 → 2010 Feb 6

Publication series

Name	Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10

Other

Other	15th International Symposium on Artificial Life and Robotics, AROB '10
Country/Territory	Japan
City	Beppu, Oita
Period	10/2/4 → 10/2/6

Keywords

BP Neural Network
Evaporator
Learning control
Low thermal gap
Power generator
Turbine

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Human-Computer Interaction

Cite this

A learning control of unused energy power generation. / Shikasho, Satomi; Shin, Ji Sun; Cui, C. Y. et al.
Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10. 2010. p. 1029-1032 (Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shikasho, S, Shin, JS, Cui, CY & Lee, HH 2010, A learning control of unused energy power generation. in Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10. Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10, pp. 1029-1032, 15th International Symposium on Artificial Life and Robotics, AROB '10, Beppu, Oita, Japan, 10/2/4.

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title = "A learning control of unused energy power generation",

abstract = "In recent years, the new clean energy without dependence on the fossil fuel is required. The control system of the power generation using low temperature gap is designed to keep the speed of the steam turbine in real environment. This system includes nonlinearity and the characteristics of the system change in real environment with the aged deterioration. The evaporator, the condenser, and the turbine systems are modeled, and the PID control with the ability of learning based on BP neural network is designed.",

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author = "Satomi Shikasho and Shin, {Ji Sun} and Cui, {C. Y.} and Lee, {Hee Hyol}",

year = "2010",

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booktitle = "Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10",

note = "15th International Symposium on Artificial Life and Robotics, AROB '10 ; Conference date: 04-02-2010 Through 06-02-2010",

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AU - Shikasho, Satomi

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AU - Cui, C. Y.

AU - Lee, Hee Hyol

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N2 - In recent years, the new clean energy without dependence on the fossil fuel is required. The control system of the power generation using low temperature gap is designed to keep the speed of the steam turbine in real environment. This system includes nonlinearity and the characteristics of the system change in real environment with the aged deterioration. The evaporator, the condenser, and the turbine systems are modeled, and the PID control with the ability of learning based on BP neural network is designed.

AB - In recent years, the new clean energy without dependence on the fossil fuel is required. The control system of the power generation using low temperature gap is designed to keep the speed of the steam turbine in real environment. This system includes nonlinearity and the characteristics of the system change in real environment with the aged deterioration. The evaporator, the condenser, and the turbine systems are modeled, and the PID control with the ability of learning based on BP neural network is designed.

KW - BP Neural Network

KW - Evaporator

KW - Learning control

KW - Low thermal gap

KW - Power generator

KW - Turbine

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M3 - Conference contribution

AN - SCOPUS:84866703583

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BT - Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10

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ER -

A learning control of unused energy power generation

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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