本文選題：模型預(yù)測(cè)控制 + 經(jīng)濟(jì)效益��； 參考：《浙江大學(xué)》2016年碩士論文

【摘要】：隨著控制理論的不斷發(fā)展,以MPC(模型預(yù)測(cè)控制)為代表的先進(jìn)控制器為工業(yè)過(guò)程取得了良好的經(jīng)濟(jì)效益,但同時(shí)人們也意識(shí)到控制器的運(yùn)行初期能夠滿足各種性能要求,但控制器沒(méi)經(jīng)過(guò)定期維護(hù)其性能會(huì)隨著時(shí)間推移而退化進(jìn)而影響經(jīng)濟(jì)效益。因此要保證生產(chǎn)過(guò)程安全、高效、優(yōu)質(zhì)、低耗的運(yùn)行,就需要對(duì)其進(jìn)行控制性能和經(jīng)濟(jì)效益的監(jiān)控與評(píng)估。本文研究基于經(jīng)濟(jì)效益指標(biāo)的MPC監(jiān)控問(wèn)題,并提出了一套監(jiān)控方案。具體工作如下：1.基于MV(過(guò)程輸入)統(tǒng)計(jì)指標(biāo)的MPC控制性能監(jiān)控。針對(duì)MPC性能下降問(wèn)題,提出了一種MPC控制性能監(jiān)控方法,通過(guò)分析MV的統(tǒng)計(jì)指標(biāo),區(qū)分模型失配和不可測(cè)干擾的影響。通過(guò)IMC(內(nèi)�？刂�)對(duì)MV的均值和方差進(jìn)行理論分析,說(shuō)明了利用MV的統(tǒng)計(jì)指標(biāo)進(jìn)行MPC控制性能監(jiān)控的可行性。與利用CV統(tǒng)計(jì)指標(biāo)的監(jiān)控方法進(jìn)行對(duì)比,表明利用MV的統(tǒng)計(jì)指標(biāo)進(jìn)行監(jiān)控對(duì)于模型失配和不可測(cè)干擾更加敏感,更容易區(qū)分模型失配和不測(cè)可干擾的影響。最后通過(guò)仿真驗(yàn)證了方法的正確性。2.MPC經(jīng)濟(jì)效益監(jiān)控。建立了一種基于歷史數(shù)據(jù)的MPC經(jīng)濟(jì)效益監(jiān)方案,定義了經(jīng)濟(jì)效益公式和歷史數(shù)據(jù)基準(zhǔn)。在此方法中將待監(jiān)控變量轉(zhuǎn)化成以貨幣單位衡量的經(jīng)濟(jì)價(jià)值,可以更加直觀地衡量全廠的經(jīng)濟(jì)效益。同時(shí)提出了一種基于系統(tǒng)辨識(shí)的優(yōu)化變量監(jiān)控方案,此方法可以監(jiān)控工業(yè)過(guò)程中的優(yōu)化變量是否處于最優(yōu)狀態(tài)。并以火電廠為實(shí)例,對(duì)其熱力發(fā)電單元、燃燒單元、負(fù)荷跟蹤特性、脫硝單元的經(jīng)濟(jì)效益進(jìn)行了分析,并提出了多種基準(zhǔn)下的經(jīng)濟(jì)效益監(jiān)控方案。3.基于經(jīng)濟(jì)效益的診斷系統(tǒng)及監(jiān)控軟件實(shí)現(xiàn)。此診斷方案主要用于分析控制系統(tǒng)經(jīng)濟(jì)效益下降的原因并且利用相關(guān)變量分析方法定位引起經(jīng)濟(jì)效益下降的控制變量。本文最后將提出的基于經(jīng)濟(jì)效益的MPC監(jiān)控方案進(jìn)行了完整的軟件實(shí)現(xiàn),并利用電廠實(shí)際數(shù)據(jù)進(jìn)行了仿真。
[Abstract]:With the development of control theory, the advanced controller, represented by MPC (Model Predictive Control), has achieved good economic benefits for the industrial process, but at the same time, people also realize that the controller can meet various performance requirements in the early stage of operation. However, the performance of the controller will degrade with time without regular maintenance, and then affect the economic benefits. Therefore, in order to ensure the safe, efficient, high quality and low consumption operation of the production process, it is necessary to monitor and evaluate its control performance and economic benefits. In this paper, the problem of MPC monitoring based on economic benefit index is studied, and a set of monitoring scheme is put forward. The work is as follows: 1. MPC control performance monitoring based on MVstatistical index. Aiming at the problem of MPC performance degradation, a MPC control performance monitoring method is proposed. By analyzing the statistical indexes of MV, the effects of model mismatch and undetectable interference are distinguished. Through the theoretical analysis of the mean and variance of MV (Internal Model Control), the feasibility of using the statistical index of MV to monitor the control performance of MPC is demonstrated. Compared with the monitoring method using CV statistical index, it shows that the MV statistical index is more sensitive to model mismatch and undetectable interference, and it is easier to distinguish the influence of model mismatch and unexpected disturbance. Finally, the correctness of the method is verified by simulation. 2. MPC economic benefit monitoring. A MPC economic benefit monitoring scheme based on historical data is established, and the economic benefit formula and historical datum are defined. In this method, the variables to be monitored can be transformed into the economic value measured by monetary units, which can be used to measure the economic benefits of the whole plant more intuitively. At the same time, an optimal variable monitoring scheme based on system identification is proposed, which can monitor whether the optimal variables are in the optimal state in the industrial process. Taking thermal power plant as an example, the economic benefits of thermal power generation unit, combustion unit, load tracking unit and denitration unit are analyzed. The realization of diagnosis system and monitoring software based on economic benefit. This diagnostic scheme is mainly used to analyze the reasons for the decline of economic benefits of the control system and to locate the control variables that cause the decline of economic benefits by using the method of correlation variable analysis. At the end of this paper, the MPC monitoring scheme based on economic benefit is implemented with complete software, and the actual data of power plant are simulated.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：F426.61;TP13

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 田學(xué)民;羅芝芬;王平;;基于LQG基準(zhǔn)的預(yù)測(cè)控制器經(jīng)濟(jì)敏感度分析及調(diào)節(jié)準(zhǔn)則[J];自動(dòng)化學(xué)報(bào);2013年10期

2 張光明;李檸;李少遠(yuǎn);;一種數(shù)據(jù)驅(qū)動(dòng)的預(yù)測(cè)控制器性能監(jiān)控方法[J];上海交通大學(xué)學(xué)報(bào);2011年08期

3 楊春;王靈梅;劉麗娟;;電力工業(yè)節(jié)能減排政策及現(xiàn)狀分析[J];節(jié)能技術(shù);2010年03期

4 閆順林;徐鴻;;火電機(jī)組熱力系統(tǒng)的自適應(yīng)汽水分布狀態(tài)方程[J];中國(guó)電機(jī)工程學(xué)報(bào);2007年08期

5 田紅景;謝飛;張春發(fā);昌晶;;基于小擾動(dòng)理論的火電廠機(jī)組耗差分析[J];華北電力大學(xué)學(xué)報(bào);2006年03期

6 張強(qiáng);李少遠(yuǎn);;Performance Monitoring and Diagnosis of Multivariable Model Predictive Control Using Statistical Analysis[J];Chinese Journal of Chemical Engineering;2006年02期

7 李檸,李少遠(yuǎn),席裕庚;MIMO系統(tǒng)的多模型預(yù)測(cè)控制(英文)[J];自動(dòng)化學(xué)報(bào);2003年04期

8 范強(qiáng),王建梅,蔡鍇,任偉,張新生,張發(fā)明;300MW火電機(jī)組回?zé)嵯到y(tǒng)數(shù)學(xué)模型研究[J];汽輪機(jī)技術(shù);2001年04期

9 王培紅;熱能轉(zhuǎn)換過(guò)程中水和水蒸汽性質(zhì)計(jì)算模型[J];汽輪機(jī)技術(shù);1993年03期

相關(guān)博士學(xué)位論文 前1條

1 趙超;過(guò)程控制系統(tǒng)經(jīng)濟(jì)性能評(píng)估算法的研究[D];浙江大學(xué);2009年

，

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