Komnatska M. Structurally Parametric Synthesis of Flight Control Systems with Elements of Fuzzy Logic

The thesis is devoted to the multivariable flight control system synthesis that incorporates the elements of fuzzy logic under incomplete state space vector measurement in the presence of structural and unstructured uncertainties. The thesis is supplied by technique and software for multivariable flight control system design based on structurally parametric synthesis by applying Luenberger observer. An optimization procedure is utilized taking into account a multicriterion problem. Another alternative method used in this thesis for multivariable flight control system construction is based on L2-gain design problem via linear matrix inequality (LMI) approach. The thesis is accompanied with techniques for flight control system design that combines the elements of crisp and fuzzy control. The firs technique uses unified algorithm for flight control system design with combined structure basing on L2-gain design problem under LMI approach. Another one perspective approach for combined flight control system design is supplemented with learning mechanism of fuzzy controller after reference model. Key-words: UAV dynamic models, structurally parametric synthesis, reduced - order Luenberger observer, H2/Hinf - robust optimization, genetic algorithms, static output feedback, linear matrix inequality, fuzzy control, Takagi-Sugeno fuzzy model.