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Constrained Robust Model Predictive Control of a Chemical Reactor

عنوان مقاله: Constrained Robust Model Predictive Control of a Chemical Reactor
شناسه ملی مقاله: RKES01_161
منتشر شده در کنفرانس بین المللی پژوهش های نوین در علوم مهندسی در سال 1395
مشخصات نویسندگان مقاله:

Fereshte Fakoor Kargar - Msc student, Ferdowsi University of Mashhad,
Naser Pariz - Associate Professor, Ferdowsi University of Mashhad,

خلاصه مقاله:
The paper addresses an approach to robust stabilization of chemical continuous stirred tank reactors. The control approach is based on solution of a set of linear matrix inequalities. This formulation enables to use convex optimization methods to design a gain matrix of a state feedback controller in each control step. The task of stabilization is solved in assumed control conditions with respect to symmetric constraints on control inputs. The control performance achieved by robust constrained model-based predictive control is studied via simulations. Obtained results confirm that the robust constrained model-based predictive control ensures the stability demands and the quality requirements represented by chosen quadratic cost function

کلمات کلیدی:
chemical reactor, LMI, parametric uncertainty, robust MPC

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/506511/