Diseño y validación de sistemas de control para aeronaves basado en las herramientas software Flightgear y Matlab. Aplicación al diseño de pilotos automáticos

[ES] Desarrollo de una plataforma software para interconectar flightgear y matlab. Desarrollo de ensayos para la identificación de modelos dinámicos últiles para diseño de controladores. Diseño y validación de los sistemas de control. Implementación y validación en la plataforma experimental flightgear/matlab. Aplicación al diseño de pilotos automáticos en aeronaves comerciales.Brusola Fernández-Portolés, P. (2016). Diseño y validación de sistemas de control para aeronaves basado en las herramientas software Flightgear y Matlab. Aplicación al diseño de pilotos automáticos. Universitat Politècnica de València. http://hdl.handle.net/10251/72580TFG

Fuzzy Modeling Framework Using Sector Non-Linearity Techniques for Fixed-Wing Aircrafts

[EN] This paper presents a mathematical modeling approach utilizing a fuzzy modeling framework for fixed-wing aircraft systems with the goal of creating a highly desirable mathematical representation for model-based control design applications. The starting point is a mathematical model comprising fifteen non-linear ordinary differential equations representing the dynamic and kinematic behavior applicable to a wide range of fixed-wing aircraft systems. Here, the proposed mathematical modeling framework is applied to the AIRBUS A310 model developed by ONERA. The proposed fuzzy modeling framework takes advantage of sector non-linearity red techniques to recast all the non-linear terms from the original model to a set of combined fuzzy rules. The result of this fuzzification is a more suitable mathematical description from the control system design point of view. Therefore, the combination of this fuzzy model and the wide range of control techniques available in the literature for such kind of models, like parallel and non-parallel distributed compensation control laws using linear matrix inequality optimization, enables the development of control algorithms that guarantee stability conditions for a wide range of operations points, avoiding the classical gain scheduling schemes, where the stability issues can be extremely challenging.This work is supported by the Spain government via MCIN/AEI/10.13039/501100 011033 [project PID2020-119468RA-I00].Brusola, P.; Garcia-Nieto, S.; Salcedo-Romero-De-Ávila, J.; Martínez Iranzo, MA.; Bishop, RH. (2024). Fuzzy Modeling Framework Using Sector Non-Linearity Techniques for Fixed-Wing Aircrafts. Aerospace. 11(4):1-24. https://doi.org/10.3390/aerospace1104025812411