دانلود مقاله ISI انگلیسی شماره 53076
ترجمه فارسی عنوان مقاله

NMPC فیدبک اقتصادی خروجی چند مرحله ای با استفاده از فیلتر کالمن بدون بو

عنوان انگلیسی
Economic Multi-stage Output Feedback NMPC using the Unscented Kalman Filter
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
53076 2015 6 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : IFAC-PapersOnLine, Volume 48, Issue 8, 2015, Pages 38–43

ترجمه کلمات کلیدی
مدل مبتنی بر کنترل؛ بازخورد خروجی کنترل پیش بینی مدل غیرخطی ؛ کنترل مقاوم؛ فیلتر کالمن بدون بو - هدف کنترل اقتصادی
کلمات کلیدی انگلیسی
Model-based control; Output feedback Nonlinear model predictive control; Robust control; Unscented Kalman Filter; Economic control objective
پیش نمایش مقاله
پیش نمایش مقاله  NMPC فیدبک اقتصادی خروجی چند مرحله ای با استفاده از فیلتر کالمن بدون بو

چکیده انگلیسی

Nonlinear Model predictive control (NMPC) is a popular control strategy for highly nonlinear chemical processes. The ability to handle safety and environmental constraints along with the use of an economic objective makes NMPC highly appealing to industries. The performance of NMPC depends strongly on the accuracy of the model. In reality, there always are plant-model mismatch and state estimation errors. Hence the NMPC controller must be robust to uncertainties in the model as well as against estimation errors. Among the several approaches presented in the literature, the scenario-tree based multi-stage NMPC approach is a non-conservative and efficient formulation. In this approach, the evolutions of the plant for different realizations of the uncertainties are considered as different scenarios and the optimization problem is formulated as a multi-stage stochastic programming problem with recourse. In this work, we consider multi-stage output feedback NMPC using the Unscented Kalman Filter (UKF) where the nonlinearities are represented using deterministically chosen sigma points for state estimation. In the control problem, we explicitly consider the UKF estimation equations to predict the future evolution of the system. The proposed approach is illustrated by simulation results of fed-batch chemical reactor with an economic cost function.