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Tuning advisor methodology for model predictive controllers

In this paper is developed a methodology for monitoring the tuning of model predictive controllers (MPC). The importance of the proposed methodology is that it can help the tuning process during the design phase through simulations or monitoring how the selected tuning parameters affect the on-line PVs and MVs behavior. The index set is based on the cost function of the MPC and the concepts used are intuitive for the operators. The performance of the proposed method is illustrated through simulations with an MPC tuned in different conditions.