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In many cases the benefits of Model Predictive Control are not achieved due to its traditionally complex nature and narrow application. This paper describes a new approach that simplifies Model Predictive Controlís implementation and usability. Model Predictive Control (MPC) implementation is represented as a function block and by using state-of-the-art techniques, the commissioning process becomes fast and easy, and the entire process of collecting and pre-processing data, creating a model, generating MPC definition, verifying the model and downloading the generated model and MPC definition to run in a controller, are fully automated. The paper also details features of convenience such as graphical presentation of the MPC block inputs and outputs, model visualization, model editing capabilities, model verification and simulation before putting the control online.
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