Articles liés à Modeling and Neural Control of Quadrotor Helicopter:...

Modeling and Neural Control of Quadrotor Helicopter: MATLAB-SIMULINK Based Modeling, Simulation and Neural Control of Quadrotor Helicopter - Couverture souple

Khan Niazi, Yasir Amir

 
9783838392981: Modeling and Neural Control of Quadrotor Helicopter: MATLAB-SIMULINK Based Modeling, Simulation and Neural Control of Quadrotor Helicopter
Couverture souple
ISBN 10 : 3838392981 ISBN 13 : 9783838392981
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

Quadrotor is a rotorcraft with four vertically oriented propellers. Two of the propellers spin in clockwise direction and the other two in the counter clockwise direction. For a Quadrotor Helicopter a stabilizing controller is always needed. In this book Artificial Neural Networks based Control Methodology to stabilize the a Quadrotor Helicopoter, has been explained. Firstly a mathematical model of Quadrotor is developed. A simplified approach is adopted using momentum theory, where the gyroscopic effect and air friction on machine’s body has been neglected, resulting in a simplified model which is useful in designing a controller to stabilize the machine in hover state. The proposed model is nonlinear since the rotor dynamics are function of square of motor inputs. In the controller designing, Direct Inverse Neural Network Control methodology is employed. For that matter 16,8,4-MLP, 16,16,4-MLP and 16,64,4-MLP are used to control the Quadrotor plant. There performance is compared using simulation results. Direct Inverse Control using 16,64,4-MLP gives the best performance amongst all the other considered.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Quadrotor is a rotorcraft with four vertically oriented propellers. Two of the propellers spin in clockwise direction and the other two in the counter clockwise direction. For a Quadrotor Helicopter a stabilizing controller is always needed. In this book Artificial Neural Networks based Control Methodology to stabilize the a Quadrotor Helicopoter, has been explained. Firstly a mathematical model of Quadrotor is developed. A simplified approach is adopted using momentum theory, where the gyroscopic effect and air friction on machine's body has been neglected, resulting in a simplified model which is useful in designing a controller to stabilize the machine in hover state. The proposed model is nonlinear since the rotor dynamics are function of square of motor inputs. In the controller designing, Direct Inverse Neural Network Control methodology is employed. For that matter 16,8,4-MLP, 16,16,4-MLP and 16,64,4-MLP are used to control the Quadrotor plant. There performance is compared using simulation results. Direct Inverse Control using 16,64,4-MLP gives the best performance amongst all the other considered.

Biographie de l'auteur

Mr Yasir Amir Khan earned his MS(Control Systems)and BE (Electrical) degrees from National University of Sciences and Technology Pakistan, in 2008 and 2003 respectively. His research interests include Intelligent Control of Quadrotor Helicopter. Presently he is faculty member of National University of Computer and Emerging Sciences-FAST.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838392981
ISBN 13 
9783838392981
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne