Quadrotor is a Flying robot which can fly vertically and has a simple structure. Because of nonlinear dynamics of the system, Stability of the control process has an important role in this robot. In this paper, a neural controller is designed to stabilize the quadrotor. The neural controller is used to stabilize the attitude of the quadrotor. We first designed a PD controller using Ziegler Nichols method, then an online learner neural controller is trained for tuning the parameters of this PD controller. To verify these controllers first a simulation performed in the Simulink environment of the Matlab. In addition to simulation we have practically implemented these control methods on a Quadrotor test bench. Practical implementation results demonstrate the effectiveness of the presented method.
Norouzi,R. , Shahbazi,H. and Jamshidi,K. (2017). Design and Implementation of a Neural Intelligent Controller and a Hybrid PD Controller for Quadrotor. Modares Mechanical Engineering, 17(10), 194-204.
MLA
Norouzi,R. , , Shahbazi,H. , and Jamshidi,K. . "Design and Implementation of a Neural Intelligent Controller and a Hybrid PD Controller for Quadrotor", Modares Mechanical Engineering, 17, 10, 2017, 194-204.
HARVARD
Norouzi R., Shahbazi H., Jamshidi K. (2017). 'Design and Implementation of a Neural Intelligent Controller and a Hybrid PD Controller for Quadrotor', Modares Mechanical Engineering, 17(10), pp. 194-204.
CHICAGO
R. Norouzi, H. Shahbazi and K. Jamshidi, "Design and Implementation of a Neural Intelligent Controller and a Hybrid PD Controller for Quadrotor," Modares Mechanical Engineering, 17 10 (2017): 194-204,
VANCOUVER
Norouzi R., Shahbazi H., Jamshidi K. Design and Implementation of a Neural Intelligent Controller and a Hybrid PD Controller for Quadrotor. Modares Mechanical Engineering, 2017; 17(10): 194-204.
