Optimization of non-linear control aerodynamic systems
using metaheuristic algorithm
Optimisation des commandes non linéaires des systèmes
aérodynamiques par les méthodes méta-heuristiques
This thesis is part of the project "modelisation and control dynamic systems"
carried by the laboratory of LMSE. This project aims to develop and optimize
new control approaches for the UAV quadrotor tracking control. This thesis
consisted of the modelling of the quadrotor, and then analysing, designing and
implementing new optimal control strategies based on the model-free concept.
In this context, the aim of the thesis is to propose new control strategies based on
the model-free concept. The proposed strategies help to compensate the
disturbances and model uncertainties. Regarding our work, we have proposed
different control techniques for quadrotor control. First, an optimal model-free
backstepping control law applied to a quadrotor UAV has been proposed. In
addition to this work, the dynamic system has been estimated through a new
proposed fuzzy strategy and merged with the BC under the model-free concept.
Finally, an optimal fuzzy model-free control has been designed based on
decentralized fuzzy control. The objective of these control strategies is to achieve
the best tracking with unknown nonlinear dynamics and external disturbances.
These proposed approaches are validated through analytical and experimental
procedures and the effectiveness checked and compared with regard to the
related controllers in the presence of disturbances and model uncertainties