Intelligent Guidance and Control of Quadrotor Unmanned Aerial Vehicl - Bekhiti, Belkacem;Dahimene, Abdelhakim;Hariche, Kamel
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In the present work, we have proposed a new intelligent design procedure, which will make it possible to reach a specification of the desired latent structure via the relocation of a spectral factors. The method proposed here allows the allocation of all latent values / vectors obtained from a desired structure. The quadrotor robot is a dynamically coupled nonlinear system, then to apply the MIMO linear compensation theory and avoid the complexity of the nonlinear control design, we first linearized the installation via a state feedback controller then precisely processed by the implementation…mehr

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Produktbeschreibung
In the present work, we have proposed a new intelligent design procedure, which will make it possible to reach a specification of the desired latent structure via the relocation of a spectral factors. The method proposed here allows the allocation of all latent values / vectors obtained from a desired structure. The quadrotor robot is a dynamically coupled nonlinear system, then to apply the MIMO linear compensation theory and avoid the complexity of the nonlinear control design, we first linearized the installation via a state feedback controller then precisely processed by the implementation of block poles based on the design of MIMO adaptive neuro-fuzzy compensation.
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Autorenporträt
Bekhiti.B received his Master Degree in 2014 from ENPO_Univ. He is currently a Ph.D at the INELEC Institute of Boumerdes (Algeria). His current research interests includ: MIMO system control, reduction, identification and algebraic theory approaches to linear and nonlinear multivariable automatic control.