Risk based Model Predictive Control with hybrid system structure and its application to Thermal Power Plants

Yutaka Iino*, Shigeru Matsumoto, Akinori Kamito

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

An industrial Model Predictive Control method, which combines usual linear control and sequence control, is re-formulated to a hybrid control algorithm. The plant start up and shut down sequence is naturally used in the industrial control method, but has not been analyzed theoretically. In this paper, the Thermal Power Plant optimal load distribution problem is formulated as Model Predictive Control with the constrained condition, and also the embedded start up and shut down optimal control sequence is designed with different objective functions. The new hierarchical control system structure is discussed as a hybrid control system, which can dramatically reduce the calculation effort, in spite of plant non-linearity, constraints and parameter uncertainty. A simulation example applied to a thermal power plant is demonstrated to show the effectiveness of the control method.

本文言語English
ホスト出版物のタイトル2006 SICE-ICASE International Joint Conference
ページ914-919
ページ数6
DOI
出版ステータスPublished - 2006 12 1
外部発表はい
イベント2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
継続期間: 2006 10 182006 10 21

出版物シリーズ

名前2006 SICE-ICASE International Joint Conference

Conference

Conference2006 SICE-ICASE International Joint Conference
国/地域Korea, Republic of
CityBusan
Period06/10/1806/10/21

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 制御およびシステム工学
  • 電子工学および電気工学

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