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Predictive Control in Process Engineering: From the Basics to the Applications by Robert Haber, Ruth Bars, Ulrich Schmitz

Predictive Control in Process Engineering: From the Basics to the Applications Robert Haber, Ruth Bars, Ulrich Schmitz ebook
Publisher: Wiley-VCH
ISBN: 352731492X, 9783527314928
Format: pdf
Page: 621

With an ever increasing emphasis on reducing costs and improving quality control, the application of advanced process control in the bulk chemical and petrochemical industry is steadily rising. Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: continuous- and discrete-time MPC Liuping Wang received her PhD in 1989 from the University of Sheffield, UK; subsequently, she was an adjunct associate professor in the Dept. Automated Today, ANN integrated into a DCS are easier to use and may offer benefits for focused applications. The 2008 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. This article reports the application of a predictive control strategy using two soft sensors on an existing industrial FCC process . Soft sensor based predictive control of industrial fluid catalytic cracking processes. Abstract: The operation of Fluid are essential for advanced control. There are The higher level can be as simple as cascade control or as sophisticated as model predictive control. When we did process control improvements in the 1980s and 1990s, the major limitation was the lack of a reliable field analyzer. Engineering and Technology · Design and Innovation · Design · Innovation · Engineering · Technology · Technology Management · Mathematics and Statistics · Mathematics · Mathematics Education · Statistics · Science. Soft sensor based predictive control of industrial Source: Chemical Engineering Research and Design,v 76, n A4,p 499-508,May 1998;ISSN: 02638762;DOI: 10.1205/026387698525126; Publisher: IChemE. The applications include but not limited to Model Predictive Control, Quality Estimators and other advanced applications that facilitate process start-up, operation, monitoring and optimization. This distinction has become continuously more blurred as feedback controllers are now chosen via optimization procedures or control actions are even determined directly via on-line optimization (model predictive control). Tags: inferential control, predictive control. Of Chemical Engineering at the University of Toronto, Canada. None of the Process engineers did not review the relationship of each input to the predicted output. Historically in Process Systems Engineering control and operations were considered two separate task with control concerned with feedback and dynamic aspects and operations with the optimal choice of setpoints and reference trajectories. This project was posted in Chemical Engineering · Bookmark and Share.