Browsing by Author "Flores Moltedo, Andrés Ricardo"

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    Fuzzy predictive control of a solar power plant
    (2005) Flores Moltedo, Andrés Ricardo; Sáez Hueichapán, Doris; Araya, Juan; Berenguel, M.; Cipriano, Aldo
    This work presents the application of fuzzy predictive control to a solar power plant. The proposed predictive controller uses fuzzy characterization of goals and constraints, based on the fuzzy optimization framework for multi-objective satisfaction problems. This approach enhances model based predictive control (MBPC) allowing the specification of more complex requirements. A brief description of the solar power plant and its simulator is given. Basic concepts of predictive control and fuzzy predictive control are introduced. Two fuzzy predictive controllers using different membership functions are designed for a solar power plant, and they are compared with a classical predictive controller. The simulation results show that the fuzzy MBPC formulation, based on a well proven successful algorithm, gives a greater flexibility to characterize the goals and constraints than classical control.
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    Predictive control with fuzzy characterization of percentage of solids, particle size and power demand for minerals grinding
    (IEEE, 2001) Orchard, M.; Flores Moltedo, Andrés Ricardo; Munoz, C.; Cipriano, Aldo
    The application of fuzzy predictive control to solve the regulatory problem in mineral grinding plants is considered. The controlled variables are percentage of solids, particle sizes and power demand and the manipulated variables are water and fresh ore flows. The controller uses linear multivariable models and the fuzzy characterization of the controlled variables, to calculate the manipulated variables. Simulation results under typical disturbances show a better performance compared with the conventional predictive control.