本文關(guān)鍵詞：復(fù)雜工業(yè)過程運(yùn)行優(yōu)化與反饋控制，由筆耕文化傳播整理發(fā)布。

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摘要 過程控制不僅使被控對象的輸出盡可能好地跟蹤控制器設(shè)定值, 而且要對整個工業(yè)裝置的運(yùn)行進(jìn)行控制, 使反映產(chǎn)品在該裝置加工過程中質(zhì)量、效率與消耗等指標(biāo), 即運(yùn)行指標(biāo)在目標(biāo)值范圍內(nèi), 盡可能提高質(zhì)量與效率指標(biāo), 盡可能降低消耗指標(biāo), 即實(shí)現(xiàn)工業(yè)過程運(yùn)行優(yōu)化控制. 本文在綜述了已有的運(yùn)行優(yōu)化與控制方法的基礎(chǔ)上, 重點(diǎn)介紹了復(fù)雜工業(yè)過程的數(shù)據(jù)驅(qū)動的混合智能運(yùn)行優(yōu)化控制和運(yùn)行控制半實(shí)物仿真系統(tǒng), 并以赤鐵礦磨礦過程為應(yīng)用研究案例, 仿真實(shí)驗(yàn)和工業(yè)應(yīng)用結(jié)果表明所提方法的有效性, 并指出了復(fù)雜工業(yè)過程運(yùn)行優(yōu)化控制研究需要關(guān)注的問題.

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收稿日期: 2013-07-19     

基金資助:國家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973計(jì)劃)(2009CB320601)資助

作者簡介: 柴天佑 中國工程院院士, 東北大學(xué)教授, IEEE Fellow, IFAC Fellow. 1985 年獲得東北大學(xué)博士學(xué)位. 主要研究方向?yàn)樽赃m應(yīng)控制, 智能解耦控制, 流程工業(yè)綜臺自動化理論、方法與技術(shù).

引用本文:   

柴天佑. 復(fù)雜工業(yè)過程運(yùn)行優(yōu)化與反饋控制. 自動化學(xué)報, 2013, 39(11): 1744-1757.
CHAI Tian-You. Operational Optimization and Feedback Control for Complex Industrial Processes. Acta Automatica Sinica, 2013, 39(11): 1744-1757.

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[1] 代偉, 柴天佑. 數(shù)據(jù)驅(qū)動的復(fù)雜磨礦過程運(yùn)行優(yōu)化控制方法. 自動化學(xué)報, 2014, 40(9): 2005-2014.

[2] 柴天佑. 生產(chǎn)制造全流程優(yōu)化控制對控制與優(yōu)化理論方法的挑戰(zhàn). 自動化學(xué)報, 2009, 35(6): 641-649.

[3] 柴天佑, 丁進(jìn)良, 王宏, 蘇春翌. 復(fù)雜工業(yè)過程運(yùn)行的混合智能優(yōu)化控制方法. 自動化學(xué)報, 2008, 34(5): 505-515.

[4] 劉治, 王耀南. 一種高階模糊CMAC自適應(yīng)控制及其應(yīng)用. 自動化學(xué)報, 2001, 27(02): 262-266.

[5] 何敏, 呂勇哉. 基于混合知識表達(dá)模型的啟發(fā)式優(yōu)化控制策略及其應(yīng)用. 自動化學(xué)報, 1992, 18(03): 371-375.

  本文關(guān)鍵詞：復(fù)雜工業(yè)過程運(yùn)行優(yōu)化與反饋控制，，由筆耕文化傳播整理發(fā)布。