Conference papers
A neural network control based on differential flatness for a quadrotor
Abstract : 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
Cited literature [8 references]
https://hal-enac.archives-ouvertes.fr/hal-01346276
Contributor : Laurence Porte <>
Submitted on : Thursday, August 18, 2016 - 3:47:44 PM
Last modification on : Wednesday, July 24, 2019 - 11:48:01 PM
Document(s) archivé(s) le : Saturday, November 19, 2016 - 8:08:44 PM
Contributor : Laurence Porte <>
Submitted on : Thursday, August 18, 2016 - 3:47:44 PM
Last modification on : Wednesday, July 24, 2019 - 11:48:01 PM
Document(s) archivé(s) le : Saturday, November 19, 2016 - 8:08:44 PM
File
198.pdf
Publisher files allowed on an open archive
