کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10399993 | 890785 | 2005 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The importance of first-principles, model-based steady-state gain calculations in model predictive control-a refinery case study
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی هوافضا
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چکیده انگلیسی
This paper addresses the development and application of a first-principles, steady-state modeling framework in multivariable control applications. A rigorous approach based on detailed nonlinear models calibrated with reconciled online measurements is presented. Sensitivity analysis of this model is then applied in order to generate steady-state gain (inferential) models used in a DMC-based control application of a refinery unit. The benefits of using open-equation based inferential models to account for online product quality control are demonstrated in the context of a real-time model predictive control system, applied to a refinery. Finally, the direct economic impact of this application is assessed in a detailed quantitative manner and offered along with the relevant business process changes and operational practice recommendations for sustaining the benefits achieved.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Control Engineering Practice - Volume 13, Issue 11, November 2005, Pages 1369-1382
Journal: Control Engineering Practice - Volume 13, Issue 11, November 2005, Pages 1369-1382
نویسندگان
Minh Tran, Dimitrios K. Varvarezos, Mohamad Nasir,