Dettmer, R.J.R.J.DettmerCosta Mendes, Paulo Renato daPaulo Renato daCosta MendesNormey-Rico, J.E.J.E.Normey-Rico2022-03-062022-03-062020https://publica.fraunhofer.de/handle/publica/26947110.1016/j.ifacol.2020.12.1904This papers presents a nonlinear model predictive controller (NMPC) for temperature control in solar collector fields. The proposed NMPC uses feedback linearization for handling the systems nonlinearities in a mixed integer quadratic programming (MIQP) formulation that makes the constraints convex in the new coordinates, making the controller solution an optimal one. Several simulations are shown with real data and a validated model of solar field to illustrate the advantages of the proposed strategy over other general-purpose NMPC methods, showing great improvement in constraint satisfaction.en003006519journal article