Brain Emotional Learning-Based Path Planning and Intelligent Control Co-Design for Unmanned Aerial Vehicle in Presence of System Uncertainties and Dynamic Environment

2018 ◽  
Author(s):  
Mohammad Jafari ◽  
Hao Xu ◽  
Luis Rodolfo Garcia Carrillo
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicle ◽  
Intelligent Control ◽  
Dynamic Environment ◽  
Emotional Learning ◽  
Aerial Vehicle ◽  
System Uncertainties ◽  
Brain Emotional Learning

Path Planning Scheme for Collision Avoidance in Unmanned Aerial Vehicle Traffic Management System

2021 ◽  
Author(s):  
Amaanullah ◽  
Muhammed Ahmed Lamba ◽  
Surya Prakash S ◽  
Shrikant S. Tangade ◽  
Syed Sehraab Nawaz ◽  
...  
Keyword(s):  
Path Planning ◽  
Collision Avoidance ◽  
Unmanned Aerial Vehicle ◽  
Traffic Management ◽  
Management System ◽  
Vehicle Traffic ◽  
Planning Scheme ◽  
Aerial Vehicle ◽  
Traffic Management System

Path Planning Approach for a Quadrotor Unmanned Aerial Vehicle

2021 ◽  
pp. 426-439
Author(s):  
César A. Cárdenas R. ◽  
V. Landero ◽  
Ramón E. R. González ◽  
Paola Ariza-Colpas ◽  
Emiro De-la-Hoz-Franco ◽  
...  
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicle ◽  
Planning Approach ◽  
Aerial Vehicle

scholarly journals Three-Dimensional Path Planning of Constant Thrust Unmanned Aerial Vehicle Based on Artificial Fluid Method

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yongqiang Qi ◽  
Shuai Li ◽  
Yi Ke
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicle ◽  
Interpolation Method ◽  
Three Dimensional ◽  
Planning Problem ◽  
Perturbation Matrix ◽  
Fluid Field ◽  
Control Scheme ◽  
Aerial Vehicle ◽  
Tangential Vector

In this paper, a three-dimensional path planning problem of an unmanned aerial vehicle under constant thrust is studied based on the artificial fluid method. The effect of obstacles on the original fluid field is quantified by the perturbation matrix, the streamlines can be regarded as the planned path for the unmanned aerial vehicle, and the tangential vector and the disturbance matrix of the artificial fluid method are improved. In particular, this paper addresses a novel algorithm of constant thrust fitting which is proposed through the impulse compensation, and then the constant thrust switching control scheme based on the isochronous interpolation method is given. It is proved that the planned path can avoid all obstacles smoothly and swiftly and reach the destination eventually. Simulation results demonstrate the effectiveness of this method.

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