Model Predictive Control using LabVIEW

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.