Alexander Santander, Joaquín Aranda.
IFAC World Congress. 2005.
Aircraft flight control has a multivariable and non linear nature that makes it suitable for a verification of control capability of different designs. QFT techniques have been thoroughly used during the last years to provide robust control designs while using classic theory of control. The QFT method is applied to the design of an aircraft flight control and the results, evaluated by means of an automated software, can be compared to results obtained with different methodology approaches.
J. Aranda, J.M. de la Cruz, M. parrilla, P. Ruiperez
AIAA Guidance Navigation and Control Conference and Exhibit. 14-17 August 2000. AIAA-2000-4556
Aircraft flight control design is a multivariable control problem with multiple sensors and multiple actuators where various strict requirements from multiple disciplines have to be satisfied. In this paper a method based in Evolutionary Algorithm is used for the design of these multivariable controllers. This study illustrates how a technique such as the multiobjective optimization by evolutionary algorithm can be applied to multivariable control design. Several objective functions can be considered such as the designer would state them. The problem is formulated from the point of view of the designer, not that of the optimizer. The method is applied to the design of an aircraft flight control and their results can be compared to results of other methods. These techniques can be applied with different controller structures and the objectives can be obtained in a way optimum.
J. Aranda, J.M. de la Cruz, M. Parrilla, P. Ruipérez
Controlo’2000: 4th Portuguese Conference on Automatic Control. Guimarães-Portugal. October 4 - 6, 2000
Aircraft flight control design is a multivariable control problem with multiple sensors and multiple actuators where various strict requirements from multiple disciplines have to be satisfied. In this paper a method based in Evolutionary Algorithm is used for the design of these multivariable controllers. This study illustrates how a technique such as the multiobjective optimization by evolutionary algorithm can be applied to multivariable control design. Several objective functions can be considered such as the designer would state them. The problem is formulated from the point of view of the designer, not that of the optimizer. The method is applied to the design of an aircraft flight control and their results can be compared to results of other methods. These techniques can be applied with different controller structures and the objectives can be obtained in a way optimum. (more )
J.M. de la Cruz, P. Ruipérez, J. Aranda.
Lecture Notes in Control and Information Sciences no. 224 Robust Flight Control. A Design Challenge, J.F. Magni, S. Bennani, J. Terlouw (Eds). Pag. 238-257. 1997