動的システムのマルチレートサンプリングデータ駆動型高速レート障害検出
Yu Hu1, Aibing Qiu2, Yintao Wang2
1Nantong University, School of Imformation Science and Technology, Nantong, 226019, China.
ISA transactions
|December 20, 2025
まとめ
本研究では、マルチレートサンプリングデータ(MRSD)システム用の高速障害検出方法を導入する。この技術は、診断オブザーバーの性能を向上させ、障害検出を改善するための迅速な残差生成を可能にする。
科学分野:
- 制御システム工学
- 信号処理
- 障害診断
背景:
- マルチレートサンプリングデータ(MRSD)システムは、現代の工学において普及している。
- 不整合なサンプリングレートに起因するMRSDシステムにおけるデータの非同期性は、効果的な障害診断を妨げ、遅延や検出漏れにつながる。
研究 の 目的:
- MRSDによって駆動される動的システム用に特別に設計された、新規かつ高速な障害検出スキームを提案する。
- データの非同期性の問題に対処し、MRSDシステムにおける障害検出の適時性を改善する。
主な方法:
- リフティング技術を利用して、非同期MRSDを同期した低速レートサンプリングデータに変換する。
- サブスペース同定と補助的なリフティング出力を用いて多次元診断オブザーバーを構築し、パリティベクトルを計算する。
- ポストフィルターを用いて因果性制約を管理し、高速レート残差生成を可能にする。
主要な成果:
- 提案スキームは、因果性制約を克服する高速レート残差生成を容易にする。
- 障害検出を強化するための高速レート残差評価戦略が開発される。
- 提案スキームの有効性は、暖房、換気、空調(HVAC)システムの例を用いて検証された。
結論:
- 開発された障害検出スキームは、MRSDを効果的に処理し、より高速で信頼性の高い障害診断を可能にする。
- この方法は、MRSDシステムに固有のデータの非同期性の問題に対処する上で優位性を示す。
- このアプローチは、MRSDを利用する複雑な工学システムの障害診断に大きな進歩を提供する。
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