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- 江口 徹
- 早稲田大学大学院情報生産システム研究科
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- 周 金
- 早稲田大学大学院情報生産システム研究科
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- 平澤 宏太郎
- 早稲田大学大学院情報生産システム研究科
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- 古月 敬之
- 早稲田大学大学院情報生産システム研究科
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- マルコン シャンドル
- フジテック(株)
書誌事項
- タイトル別名
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- Optimization of Double-deck Elevator Group Supervisory Control System using Genetic Network Programming
抄録
In recent years, double-deck elevator systems (DDES) where two cars are connected in a shaft has been developed for the rising demand of more efficient transport of passengers in high-rise buildings. DDES has specific behaviors due to the connection of cars and the need for securing comfortable riding, so its group control becomes more complex than conventional single-deck elevator systems (SDES). Meanwhile, a graph-based evolutionary method, Genetic Network Programming (GNP) has been applied to elevator group supervisory control systems, and its effectiveness is clarified. GNP can consider the specific behaviors of DDES in its node functions easily and execute an efficient rule-based group control optimized evolutionary. In this paper, a new group control system for DDES using GNP is proposed, and its optimization and performance verification are done through the simulations. First, optimization of GNP for DDES is executed. Second, the performance of the proposed method is verified by the comparison with conventional methods, and the obtained control rules are studied. Finally, the performance improvement by the proposal is evaluated in terms of SDES capacity.
収録刊行物
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- 計測自動制御学会論文集
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計測自動制御学会論文集 42 (11), 1260-1268, 2006
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390282679479938432
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- NII論文ID
- 130003971525
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- ISSN
- 18838189
- 04534654
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可