DocumentCode :
603547
Title :
Model Predictive Control using LabVIEW
Author :
Mogal, P.W. ; Warke, N.
Author_Institution :
M.E. Instrum., V.E.S.I.T. Chembur, Mumbai, India
fYear :
2013
fDate :
23-25 Jan. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Continuous Stirred Tank Reactor (CSTR) sometimes involves complex reactions with high nonlinearity. To handle these problems, modern control strategy called Model Predictive Control (MPC) has been reviewed. MPC technology can now be found in a wide variety of application areas including power plants, petroleum refineries, chemicals, food processing, automotive, and aerospace applications. For isothermal CSTR, MPC is robust for model uncertainties and handle the constraints properly is demonstrated in this paper. The increase in the prediction horizon reduces the control effort required to track the given set point. Negative effect of the system is cancelled out by proper selection of weighting function which is shown in this paper. Desired time domain specifications are achieved by proper selection of prediction horizon and weighting function. Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) is used as simulation software due to its better graphical user interface.
Keywords :
chemical reactors; control engineering computing; graphical user interfaces; predictive control; virtual instrumentation; LabVIEW; MPC technology; continuous stirred tank reactor; graphical user interface; isothermal CSTR; laboratory virtual instrumentation engineering workbench; model predictive control; model uncertainties; prediction horizon; simulation software; time domain specifications; weighting function; Chemical reactors; Computational modeling; Instruments; Isothermal processes; Process control; Robustness; Uncertainty; CSTR; Constraints; LabVIEW; MPC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Technology and Engineering (ICATE), 2013 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4673-5618-3
Type :
conf
DOI :
10.1109/ICAdTE.2013.6524719
Filename :
6524719
Link To Document :
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