However , the common problem that still exits in these techniques is how to discriminate the variables that are really being out of control when the multivariate control charts are signaling 這些多元質(zhì)量控制技術(shù)存在的共同問(wèn)題是:一旦發(fā)現(xiàn)失控信號(hào),由于相關(guān)性,很難判斷哪個(gè)/哪些變量出現(xiàn)問(wèn)題。
Controller performance assessment algorithms based on minimum variance for single loop control system , multivariate control system and cascade control system are derived in the paper 本文利用最小方差準(zhǔn)則,給出了單變量、多變量及串級(jí)控制回路的性能評(píng)價(jià)方法,并對(duì)工業(yè)中兩個(gè)精餾塔控制系統(tǒng)的性能進(jìn)行了分析。
3 . discussing application of entropy in multivariate control chart , firstly , testing whether the correlation structure has changed by means of the mutual information approach . secondly , using approximately approach to discuss two estimators of conditional entropy . finally , establishing corresponding entropy chart 討論了熵在多變量控制圖中的應(yīng)用,首先利用相互信息量的方法檢測(cè)相關(guān)陣是否變化,然后利用近似的方法討論了兩種條件熵的估計(jì)量,建立了相應(yīng)的熵圖。
Summarizes the design and develop ways of monitoring and fault diagnosis systems based on pca for multivariable control system . introduces the main statistical variables , multivariate control charts and the analysis ways of statistical variables . then this paper takes a model of continuous process for example , to show and analysis the result of fault diagnosis based on pca 概述和總結(jié)了基于主元分析的多變量控制系統(tǒng)故障監(jiān)測(cè)與診斷系統(tǒng)設(shè)計(jì)思想,分析了主要統(tǒng)計(jì)量、控制圖以及數(shù)據(jù)基本分析處理方法,并以一個(gè)連續(xù)生產(chǎn)過(guò)程模型為例,闡述了故障診斷模型的建立過(guò)程以及診斷結(jié)果分析。
In this article we study performance analysis of mpc control system from two aspects , academically and for application , and get some conclusions : 1 . on the base of conventional performance assessment method we propose integrated performance analysis method of multivariate control system ( ipammcs ) . this method can present more information about the existing control system , such as stochastic performance , deterministic performance and oscillation 本文從理論和實(shí)際應(yīng)用兩個(gè)方面對(duì)mpc性能進(jìn)行了研究,并取得了以下結(jié)果: ( 1 )在傳統(tǒng)的性能評(píng)價(jià)方法的基礎(chǔ)上提出了綜合的多變量控制系統(tǒng)性能分析方法( integratedperformanceanalysismethodofmultivariatecontrolsystem ,簡(jiǎn)稱ipammcs方法) ,這個(gè)方法能從確定性能性能、隨機(jī)性性能及是否存在振蕩幾個(gè)方面有效地評(píng)價(jià)已有的控制系統(tǒng);該方法不僅適用于對(duì)具有一般控制器的控制系統(tǒng)的評(píng)價(jià),而且對(duì)于基于模型的控制系統(tǒng)的評(píng)價(jià)也是非常有效的。
The main statistical variables and multivariate control charts are introduced . the design idea of fault monitoring and fault diagnosis systems based on principal component analysis for multivariable control system is analyzed . a model of pta oxidation process is talcen as an example to show the result of fault diagnosis based on principal component analysis 介紹了多元統(tǒng)計(jì)過(guò)程控制在故障診斷中常用的統(tǒng)計(jì)量及統(tǒng)計(jì)控制圖,分析了基于主元分析的多變量控制系統(tǒng)故障監(jiān)測(cè)與診斷的設(shè)計(jì)思想,并將其應(yīng)用于pta氧化過(guò)程仿真監(jiān)控。