کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7104301 1460338 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real-time algorithm for self-reflective model predictive control
ترجمه فارسی عنوان
الگوریتم زمان واقعی برای کنترل پیش بینی مدل خود بازتابنده
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
چکیده انگلیسی
This paper is about a real-time model predictive control (MPC) algorithm for a particular class of model based controllers, whose objective consists of a nominal tracking objective and an additional learning objective. Here, the construction of the learning term is based on an economic optimal experiment design criterion. It is added to the MPC objective in order to excite the system on purpose thereby improving the accuracy of the state and parameter estimates in the presence of incomplete or noise affected measurements. The focus of this paper is on so-called self-reflective model predictive control schemes, which have the property that the additional learning term can be interpreted as the expected loss of optimality of the controller in the presence of random measurement errors. The main contribution is a formulation-tailored algorithm, which exploits the particular structure of self-reflective MPC problems in order to speed-up the online computation. It is shown that the proposed algorithm can solve the self-reflective optimization problems with reasonable additional computational effort and in real-time.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 65, May 2018, Pages 68-77
نویسندگان
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