化工学报
化工學報
화공학보
JOURNAL OF CHEMICAL INDUSY AND ENGINEERING (CHINA)
2015年
2期
183-189
,共7页
模型预测控制%过程控制%算法%积分变量%旋转因子%递推增广最小二乘算法%非平稳扰动
模型預測控製%過程控製%算法%積分變量%鏇轉因子%遞推增廣最小二乘算法%非平穩擾動
모형예측공제%과정공제%산법%적분변량%선전인자%체추증엄최소이승산법%비평은우동
model predictive control%process control%algorithm%integrating variable%rotation factor%recursive extended least squares algorithm%non-stationary disturbance
为抑制非平稳扰动对具有积分特性的乙炔法VCM精馏过程的影响,提出了一种有效的自适应MPC方法。由于高沸塔塔釜中会不断沉积高沸物,表现出很强的积分特性,因此,将高沸塔塔釜液位作为积分变量进行控制;同时,针对VCM进料温度等因素对高沸塔塔釜液位产生的非平稳扰动,首先,利用RELS算法实时的估计影响高沸塔塔釜液位的扰动,然后,计算扰动在预测误差中所占的比例,最后,通过实时更新旋转因子的数值实现对积分过程的自适应MPC。工业试验结果表明:提出的自适应MPC方法能够有效克服非平稳扰动,高沸塔塔釜液位的标准差为2.6616,比采用自适应MPC方法之前减少了60.7%,验证了该方法的有效性。
為抑製非平穩擾動對具有積分特性的乙炔法VCM精餾過程的影響,提齣瞭一種有效的自適應MPC方法。由于高沸塔塔釜中會不斷沉積高沸物,錶現齣很彊的積分特性,因此,將高沸塔塔釜液位作為積分變量進行控製;同時,針對VCM進料溫度等因素對高沸塔塔釜液位產生的非平穩擾動,首先,利用RELS算法實時的估計影響高沸塔塔釜液位的擾動,然後,計算擾動在預測誤差中所佔的比例,最後,通過實時更新鏇轉因子的數值實現對積分過程的自適應MPC。工業試驗結果錶明:提齣的自適應MPC方法能夠有效剋服非平穩擾動,高沸塔塔釜液位的標準差為2.6616,比採用自適應MPC方法之前減少瞭60.7%,驗證瞭該方法的有效性。
위억제비평은우동대구유적분특성적을결법VCM정류과정적영향,제출료일충유효적자괄응MPC방법。유우고비탑탑부중회불단침적고비물,표현출흔강적적분특성,인차,장고비탑탑부액위작위적분변량진행공제;동시,침대VCM진료온도등인소대고비탑탑부액위산생적비평은우동,수선,이용RELS산법실시적고계영향고비탑탑부액위적우동,연후,계산우동재예측오차중소점적비례,최후,통과실시경신선전인자적수치실현대적분과정적자괄응MPC。공업시험결과표명:제출적자괄응MPC방법능구유효극복비평은우동,고비탑탑부액위적표준차위2.6616,비채용자괄응MPC방법지전감소료60.7%,험증료해방법적유효성。
In order to restrain the influence of non-stationary disturbance to VCM distillation process with integral characteristics by the acetylene method, an effective adaptive MPC method was presented. Due to the integral characteristics of the high boiling tower caused by settling of high-boiling residues to the bottom of tower, liquid level of the high boiling tower was taken as integral variable. Furthermore, in order to restrain the influence of non-stationary disturbance to liquid level of the high boiling tower caused by feed temperature of VCM and other factors, firstly, RELS (recursive extended least squares) algorithm was used to estimate the disturbance;secondly, the proportion of prediction error caused by the disturbance was calculated. Lastly, twiddle factor of adaptive MPC was updated real-time to realize the control of liquid level. Industrial experiments indicated that the adaptive MPC could overcome the non-stationary disturbance effectively, and standard deviation of liquid level was 2.6616 which was reduced by 60.7%than before. The effectiveness of the adaptive MPC was proved.