کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
710392 892109 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real-Time Optimization Based on Adaptation of Surrogate Models
ترجمه فارسی عنوان
بهینه سازی زمان واقعی بر اساس سازگاری مدل های جایگزین
کلمات کلیدی
بهینه سازی در زمان واقعی، عدم تقارن گیاه مدل، امکان کارخانه انطباق آنلاین
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی

Recently, different real-time optimization (RTO) schemes that guarantee feasibility of all RTO iterates and monotonic convergence to the optimal plant operating point have been proposed. However, simulations reveal that these schemes converge very slowly to the plant optimum, which may be prohibitive in applications. This note proposes an RTO scheme based on second-order surrogate models of the objective and the constraints, which enforces feasibility of all RTO iterates, i.e., plant constraints are satisfied at all iterations. In order to speed up convergence, we suggest an online adaptation strategy of the surrogate models that is based on trust-region ideas. The efficacy of the proposed RTO scheme is demonstrated in simulations via both a numerical example and the steady-state optimization of the Williams-Otto reactor.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC-PapersOnLine - Volume 49, Issue 7, 2016, Pages 412–417
نویسندگان
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