Cascade temperature control for bench-scale batch reactor-an application of Predictive Functional Control technique

2012 ◽  
Author(s):  
Yiming Song ◽  
Bin Yang ◽  
Shuang Qiu ◽  
Xiaoxun Ma
Keyword(s):  
Temperature Control ◽  
Batch Reactor ◽  
Control Technique ◽  
Bench Scale ◽  
Predictive Functional Control ◽  
Functional Control

Nonlinear parametric predictive control for the temperature control of bench-scale batch reactor

2016 ◽  
Vol 102 ◽  
pp. 134-143 ◽  
Author(s):  
Yiming Song ◽  
Xiaoxiao Wang ◽  
Haipeng Teng ◽  
Yulei Guan
Keyword(s):  
Predictive Control ◽  
Temperature Control ◽  
Batch Reactor ◽  
Bench Scale

scholarly journals Predictive functional control of temperature in a pharmaceutical hybrid nonlinear batch reactor

2013 ◽  
Vol 19 (4) ◽  
pp. 573-582 ◽  
Author(s):  
Simon Stampar ◽  
Sasa Sokolic ◽  
Gorazd Karer
Keyword(s):  
Temperature Control ◽  
Control Algorithm ◽  
Batch Reactor ◽  
Pharmaceutical Product ◽  
Control Law ◽  
Batch Reactors ◽  
Heating And Cooling ◽  
Pharmaceutical Substances ◽  
Functional Control

These days, in times of recession, we are forced by competitiveness and the optimization of production to lower the costs of the temperature control in pharmaceutical batch reactors and increase the quantity and quality of the produced pharmaceutical product (active pharmaceutical substances). Therefore, a control algorithm is needed which provides us rapid and precise temperature control. This paper deals with the development of a control algorithm, where two predictive functional controllers are connected in a cascade for heating and cooling the content of the hybrid batch reactor. The algorithm has to be designed to cope with the constraints and the mixed discrete and continuous nature of the process of heating and cooling. The main goal of the control law is to achieve rapid and exact tracking of the reference temperature, good disturbance rejection and, in particular, a small number of heating and cooling medium switchings. The simulation results of the proposed algorithm give us much better performance compared to a conventional cascade PI algorithm.

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