Model predictive control studies on a cascade temperature control loop

Genç, Ayten


Model Predictive Control for a PUC5 based Dual Output Active Rectifier
Makhamreh, Hamza; Trabelsi, Mohamed; Kukrer, Osman; Abu-Rub, Haitham (2019-01-01)
In this paper, an effective finite-control-set model predictive controller (FCS-MPC) is proposed for an active dual output rectifier. The topology under study is a 5-level packed U cells (PUC5) rectifier. The optimized cost function is designed based on the capacitors' voltages and current errors. The Capacitors' reference voltages and the peak value of the reference grid current are used to normalize the errors within the cost function. The peak value of the current reference is generated by a PI controlle...
Model Predictive control(MPC)performance for controlling reaction systems
Aşar, Işık; Özgen, Canan; Department of Chemical Engineering (2004)
In this study, the performance of the Model Predictive Controller (MPC) algorithm is investigated in two different reaction systems. The first case is a saponification reaction system where ethyl acetate reacts with sodium hydroxide to produce sodium acetate and ethanol in a CSTR. In the reactor, temperature and sodium acetate concentration are controlled by manipulating the flow rates of ethyl acetate and cooling water. The model of the reactor is developed considering first principal models. The experimen...
Model predictive control using neural networks applied to flight control
Karşıdağ, Süleyman Tarkan; Leblebicioğlu, Kemal; Department of Electrical and Electronics Engineering (1999)
Model predictive control of the chlorination stage in a pulp bleaching plant
Uğur, Cenk; Özgen, Canan; Department of Chemical Engineering (2001)
Model updating of nonlinear structures from measured FRFs
Canbaloglu, Guvenc; Özgüven, Hasan Nevzat (Elsevier BV, 2016-12-01)
There are always certain discrepancies between modal and response data of a structure obtained from its mathematical model and experimentally measured ones. Therefore it is a general practice to update the theoretical model by using experimental measurements in order to have a more accurate model. Most of the model updating methods used in structural dynamics are for linear systems. However, in real life applications most of the structures have nonlinearities, which restrict us applying model updating techn...
Citation Formats
A. Genç, “Model predictive control studies on a cascade temperature control loop,” Middle East Technical University, 1991.