Brandao, Adriano S.M.Chicaiza Salazar, William DavidSánchez, Adolfo J.Normey Rico, Julio ElíasEscaño González, Juan Manuel2024-04-012024-04-012023Brandao, A.S.M., Chicaiza Salazar, W.D., Sánchez, A.J., Normey Rico, J.E. y Escaño González, J.M. (2023). Neurofuzzy Defocusing strategy for a Fresnel collector. En IFAC World Congress (1478-1483), Yokohama, Japan: Elsevier.97817138723442405-8963https://hdl.handle.net/11441/156575© 2023 The Authors. This is an open access article under the CC BY-NC-ND licenseConcentrating Solar Power systems are widely applied as a means to utilize the sun's abundant renewable energy, but the design of these processes facilitates the occurrence of overheating. This work presents two approaches for calculating the mirror angles of a fresnel collector in order to limit the amount of solar energy collected. The proposed structures are designed to receive a desired focus value from a controller and generate references for the mirror inclination controllers of the collector. The first strategy consists of the use of an optimization problem coupled with a simplified model of the collector. Whereas, the second approach consists of an ANFIS network that is trained with data from a reliable collector model made in SolTrace®. Both approaches are compared with simulations in SolTrace® the results show that the ANFIS solution presented overall better results, taking into account error and computational time.application/pdf6 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/DefocusingFresnelNeuro-FuzzyFuzzy Inference SystemOptimizationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1016/j.ifacol.2023.10.1839