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基于主元相似度的間歇過程操作曲線遞推優(yōu)化

發(fā)布時間:2018-02-26 01:14

  本文關(guān)鍵詞: 間歇過程 操作軌跡優(yōu)化 主元分析 余弦相似度 遞推算法 出處:《化工學(xué)報》2017年07期  論文類型:期刊論文


【摘要】:針對一類較長周期的間歇過程操作優(yōu)化問題,提出了一種基于正常運行批次的數(shù)據(jù)驅(qū)動型操作曲線遞推優(yōu)化方法。首先采用分段離散化方法將原非線性優(yōu)化問題轉(zhuǎn)化為線性優(yōu)化問題,再利用主元分析對離散化后的高維時段變量進行降維處理,然后在降維后的主元平面中,基于時段變量與最終產(chǎn)品指標間的余弦相似度,實現(xiàn)對原操作曲線的攝動優(yōu)化?紤]到時段變量方差和相似度隨批次會發(fā)生變化,建立了遞推算法以實現(xiàn)操作曲線的遞推更新。最后將該方法應(yīng)用于某化工產(chǎn)品的間歇結(jié)晶過程中,結(jié)果驗證了所提方法的有效性。
[Abstract]:For a class of long-period batch process operation optimization problems, A recursive optimization method of data-driven operation curve based on normal operation batch is proposed. Firstly, the original nonlinear optimization problem is transformed into a linear optimization problem by using piecewise discretization method. Then using principal component analysis to reduce the dimension of the discretized high-dimensional time interval variables, then in the reduced principal component plane, based on the cosine similarity between the time period variables and the final product indicators, The perturbation optimization of the original operation curve is realized. Considering that the variance and similarity of the period variables vary with the batch, A recursive algorithm is established to update the operation curve recursively. Finally, the method is applied to the batch crystallization process of a chemical product, and the effectiveness of the proposed method is verified.
【作者單位】: 江南大學(xué)輕工過程先進控制教育部重點實驗室;
【基金】:國家自然科學(xué)基金項目(61473137)~~
【分類號】:TQ02

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本文編號:1535916


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