scholarly journals Automatic Landing Guidance Law Design for Unmanned Aerial Vehicles based on Pursuit Guidance Law

2008 ◽  
Vol 14 (12) ◽  
pp. 1253-1259
2020 ◽  
Vol 4 (3) ◽  
pp. 692-697
Author(s):  
Giovanni Gozzini ◽  
Davide Invernizzi ◽  
Simone Panza ◽  
Mattia Giurato ◽  
Marco Lovera

Author(s):  
Xu Zhu ◽  
Xun-Xun Zhang ◽  
Mao-De Yan ◽  
Yao-Hong Qu ◽  
Hai Lin

Considering three-dimensional formation control for multiple unmanned aerial vehicles, this paper proposes a second-order consensus strategy by utilizing the position and velocity coordinate variables. To maintain the specified geometric configuration, a cooperative guidance algorithm and a cooperative control algorithm are proposed together to manage the position and attitude, respectively. The cooperative guidance law, which is designed as a second-order consensus algorithm, provides the desired pitch rate, heading rate and acceleration. In addition, a synchronization technology is put forward to reduce the influence of the measurement errors for the cooperative guidance law. The cooperative control law, regarding the output of the cooperative guidance law as its input, is designed by deducing the state-space expression of both the longitudinal and lateral motions. The formation stability is analyzed to give a sufficient and necessary condition. Finally, the simulations for the three-dimensional formation control demonstrate the feasibility and effectiveness of the second-order consensus strategy.


2013 ◽  
Vol 01 (02) ◽  
pp. 259-275 ◽  
Author(s):  
Ramsingh G. Raja ◽  
Charu Chawla ◽  
Radhakant Padhi

A dynamic inversion-based three-dimensional nonlinear aiming point guidance law is presented in this paper for reactive collision avoidance of unmanned aerial vehicles. When an obstacle is detected in the close vicinity and collision is predicted, an artificial safety sphere is put around the center of the obstacle. Next, the velocity vector of the vehicle is realigned towards an 'aiming point' on the surface of the sphere in such a way that passing through it can guarantee safe avoidance of the obstacle. The guidance command generation is based on angular correction between the actual and the desired direction of the velocity vector. Note that the velocity vector gets aligned along the selected aiming point quickly (i.e., within a fraction of the available time-to-go), which makes it possible to avoid pop-up obstacles. The guidance algorithm has been verified with simulations carried out both for single obstacles as well as for multiple obstacles on the path and also with different safety sphere sizes around the obstacles. The proposed algorithm has been validated using both kinematic as well as point mass model of a prototype unmanned aerial vehicle. For better confidence, results have also been validated by incorporating a first-order autopilot models for the velocity vector magnitude and directions.


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