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Fuzzy-Genetic Control of Quadrotors Unmanned Aerial Vehicles

Attila Nemes orcid id ; Óbuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary

Puni tekst: engleski pdf 1.181 Kb

str. 223-235

preuzimanja: 456



This article presents a novel fuzzy identification method for dynamic modelling of quadrotor unmanned aerial vehicles. The method is based on a special parameterization of the antecedent part of fuzzy systems that results in fuzzy-partitions for antecedents. This antecedent parameter representation method of fuzzy rules ensures upholding of predefined linguistic value ordering and ensures that fuzzy-partitions remain intact throughout an unconstrained hybrid evolutionary and gradient descent based optimization process. In the equations of motion the first order derivative component is calculated based on Christoffel symbols, the derivatives of fuzzy systems are used for modelling the Coriolis effects, gyroscopic and centrifugal terms. The non-linear parameters are subjected to an initial global evolutionary optimization scheme and fine tuning with gradient descent based local search. Simulation results of the proposed new quadrotor dynamic model identification method are promising.

Ključne riječi

quadrotor UAV; fuzzy system; unconstrained optimization; genetic algorithms; gradient descent search

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