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題 名 | Process State Estimation Using Neural Network-Rate Function Model with Application to Batch Reactors=以類神網路速率模式進行程序狀態值估測並應用於批式反應器系統 |
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作 者 | 張志雄; 陳慶隆; | 書刊名 | Journal of the Chinese Institute of Chemical Engineers |
卷 期 | 34:4 2003.07[民92.07] |
頁 次 | 頁429-439 |
分類號 | 460.02 |
關鍵詞 | 類神網路速率模式; 程序狀態值; 批式反應器系統; Observer; State estimation; Neural network; Batch reactor; Polymerization; |
語 文 | 英文(English) |
中文摘要 | 在本研究中,以具物理意義與半物理意義二種模式來進行線上狀態值估算技術的開發。半物理意義模式的建構是由具物理意義的守恒原理提供部分已知的模式內涵,而由類神網路建模方式提供模式中未知的部分。上述之具物理意義模式與半物理意義模式均可用來當作所開發之非線性降階觀測器的設計依據。以指定參數的方式來操作所設計之觀測器,觀測器表現出一致性的動態行為,且其狀態值估測之收斂性可由 Lyapunov穩定性定理證明之。我們以一批式聚合反應器為測試系統,證明了所開發之線性降階觀測器有優良的表現。 |
英文摘要 | In this work, both the mechanistic and semi-mechanistic models are used as a basis for an on-line state estimation technique. The known parts of the semi-mechanistic model are based on first principles, and black-box models consisting of neural networks model the remaining unknown parts. A nonlinear reduced state-observer with variable gain is developed to accommodate both mechanistic and semi-mechanistic models. The observer is designed to possess invariant dynamic modes that can be assigned independently to achieve the desired performance. Convergence of the estimating algorithm can be formulated using Lyapunov stability theorems. Application of the designed observer is demonstrated in a simulation study on a free-radical polymerization reactor system. |
本系統中英文摘要資訊取自各篇刊載內容。