شماره ركورد كنفرانس :
3208
عنوان مقاله :
Adaptive Tuning of Model Predictive Control based on Analytical Results
پديدآورندگان :
Gholaminejad, Tahereh Center of Excellence in Industrial Control - Department of Electrical Engineering - K. N. Toosi University of Technology , Khaki-Sedigh, Ali Center of Excellence in Industrial Control - Department of Electrical Engineering - K. N. Toosi University of Technology , Bagheri, Peyman Control Engineering Department -Faculty of Electrical and Computer Engineering - University of Tabriz
كليدواژه :
first order plus dead time models , analytical tuning , Adaptive model predictive control
عنوان كنفرانس :
چهارمين كنفرانس بين المللي كنترل، ابزار دقيق و اتوماسيون
چكيده لاتين :
In dealing with model predictive controllers
(MPC), controller tuning is a key design step. Among the
available tuning methods, analytical approaches are more
interesting and useful. This paper is based on a recently
proposed analytical MPC tuning approach based on low order
models. The performance of such methods deteriorates in
dealing with unknown or time varying parameter plants. To
overcome this problem, adaptive MPC tuning strategies are
practical alternatives. The adaptive MPC tuning approach
proposed in this paper is based on on-line identification and
analytical tuning formulas. Simulation results are used to show
the effectiveness of the proposed methodology.
