Advanced control of chemical processes (ADCHEM '94) : IFAC - download pdf or read online

By D Bonvin; International Federation of Automatic Control

ISBN-10: 0080422292

ISBN-13: 9780080422299

This book brings jointly the newest examine findings within the key region of chemical approach regulate; together with dynamic modelling and simulation - modelling and version validation for program in linear and nonlinear model-based regulate: nonlinear model-based predictive regulate and optimization - to facilitate limited real-time optimization of chemical procedures; statistical keep watch over techniques - significant advancements within the statistical interpretation of measured information to lead destiny study; knowledge-based v model-based control - the combination of theoretical facets of keep watch over and optimization idea with more moderen advancements in synthetic intelligence and computing device technological know-how.

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Extra info for Advanced control of chemical processes (ADCHEM '94) : IFAC symposium, Kyoto, Japan, 25-27 May 1994

Example text

4) The coolant medium in the stirred tank reactor jack1�t is well mixed. 5) The process side of the heat exchanger is a pis­ ton flow pipe, and continuous stirring exists within the separation zone. at exchanger is constant ViPiCp �)=ViPiRpAHr+A1iHi(IW-Il'1) . si. ldix . Models of other areas. For the control area, the algolithm of the distributed control systc:m in the bench plant operation was employed, and the model of the MPC system is a control system using a stepped-response model for execution.

2 0 ������ 15 0 � '-' � .... O: -10 -1 5 Figure 8: (W1 /W2) vs T for T < t d at f3 = 1 0. 5 . Solid line = three-tank system, dashed line 5: ( W1 /W2) vs f3 at T = 1 0. Solid line = three-tank system, dashed line = P WT domain least-squares fi t with n o noise. Figure = PWT domain least-squares fit with n o noise, dots = three-tank system with noise. 40 Copyright © IFAC Advanced Control of Chemical Processes, Kyoto, Japan, 1994 Low Order Empirical Modeling for Nonlinear Systems Babatunde A. Ogunnaike: Ronald K.

PJ Socieiy of Poiymer Scienci:, fapan, i:ds. (1987). Japanese), Baifukan, Tokyo . · ' I -. � ,,. 9 Re:iiJODSC of �{PC rate .... -·- · - · . :> ---------. . .. Jc,AT,ATc Cp,Cpw,Cph H,Hc,Hh A. H during lo\li1 QA for the cooling medium system. Qr Qw p,J>p,pt. Figure 7 displays the results of simulation whereby the rate is reduced with conventional FF/FB control . Figure 8 depicts a similar simulation with the MPC system . The effectiveness of MPC in lime and con­ trol until the temperature of each reactor reaches a.

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Advanced control of chemical processes (ADCHEM '94) : IFAC symposium, Kyoto, Japan, 25-27 May 1994 by D Bonvin; International Federation of Automatic Control


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