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A neural network control based on differential flatness for a quadrotor

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Résumé

In this paper, a control strategy for a quadrotor using neural network and differential flatness is proposed. Since attitude and altitude of the quadrotor are differential flat outputs for its flight dynamics, neural networks are used to perform the inversion of the flight dynamics and provide the nominal input control for the quadrotor. Errors in modeling approximations and perturbations are fed back into an additional closed loop control structure in order to assure tracking accuracy. Numerical simulations are displayed for analysis
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Dates et versions

hal-01346276 , version 1 (18-08-2016)

Identifiants

Citer

Sebastião S. Cunha, Benjamas Panomruttanarug, Hamdam Al-Fazari, Felix Mora-Camino. A neural network control based on differential flatness for a quadrotor. DINCON 2011, 10a Conferência Brasileira de Dinâmica, Controle e Aplicações, Aug 2011, Águas de Lindóia, SP, Brazil. pp.778-781, ⟨10.5540/DINCON.2011.001.1.0198⟩. ⟨hal-01346276⟩
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