Graphical based predictive control design

Graphical programming provides a suitable way to design and configure advanced control applications. This paper illustrates the configuration of graphical model predictive control applications. The system in study is controlled with linear as well as nonlinear predictive control methods, and it demonstrates the convenience of a graphical interface for the development of these popular control design techniques. The system built uses the LabVIEW identification, control design optimisation and simulation toolkits for design verification and deployment. The control solutions can be easily imported to a real time platform for industrial applications. The predictive control with constrains is presented in details in this paper and its performance is illustrated in a case study. The example shows how graphical interface control design increases the reliability and robustness of the controller implementation