An adaptive controller-observer scheme for temperature control of non-chain reactions in batch reactors

2008 ◽  
Vol 22 (7) ◽  
pp. 627-651 ◽  
Author(s):  
F. Caccavale ◽  
M. Iamarino ◽  
F. Pierri ◽  
V. Tufano
Keyword(s):  
Temperature Control ◽  
Adaptive Controller ◽  
Batch Reactors ◽  
Chain Reactions

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.

Temperature trajectory control of cryogenic wind tunnel with robust L1 adaptive control

2017 ◽  
Vol 40 (13) ◽  
pp. 3675-3689 ◽  
Author(s):  
Rusong Zhu ◽  
Guofu Yin ◽  
Gengsheng Tang ◽  
Hai Wang ◽  
Shuangxi Zhang
Keyword(s):  
Adaptive Control ◽  
Wind Tunnel ◽  
Temperature Control ◽  
Adaptive Controller ◽  
Linear Temperature ◽  
L1 Adaptive Control ◽  
State Dependent ◽  
Non Linear ◽  
Linear State ◽  
Cryogenic Wind Tunnel

Temperature control in a cryogenic wind tunnel is the key to realizing finely controlled Reynolds number close to true flight. This study deploys the L1 adaptive control methodology to ensure the total temperature profile of the cryogenic wind tunnel tracks a specified reference trajectory. After introducing a non-linear model of a cryogenic wind tunnel and a linear temperature model, a linear–quadratic–Gaussian (LQG) controller is implemented as the baseline controller. The L1 adaptive controller with piecewise constant adaptive law is used as an augmentation to the baseline controller to cancel the matched and unmatched uncertainties within the actuator’s bandwidth. By introducing two modifications to the standard L1 adaptive controller, which are the transportation delay modelling in the state predictor and the non-linear state dependent filter, the L1 adaptive controller improves the performance of the baseline controller in the presence of uncertainties in temperature control, guaranteeing proper stability and delay margin. The simulation results and analysis demonstrate the effectiveness of the proposed control architecture. The main contribution of this paper lies in the first applications of L1 adaptive control to the wind tunnel control problem and the non-linear state dependent filter in L1 adaptive control structure.

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