Receding horizon guidance of a small unmanned aerial vehicle for planar reference path following

2018 ◽  
Vol 77 ◽  
pp. 129-137 ◽  
Author(s):  
Yoshiro Hamada ◽  
Taro Tsukamoto ◽  
Shinji Ishimoto
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Path Following ◽  
Receding Horizon ◽  
Reference Path ◽  
Aerial Vehicle

scholarly journals Planar Smooth Path Guidance Law for a Small Unmanned Aerial Vehicle with Parameter Tuned by Fuzzy Logic

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Yang Chen ◽  
Jianhong Liang ◽  
Chaolei Wang ◽  
Yicheng Zhang ◽  
Tianmiao Wang ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Unmanned Aerial Vehicle ◽  
Oscillation Amplitude ◽  
Mathematical Expression ◽  
Path Following ◽  
Simulation Experiments ◽  
Guidance Law ◽  
Smooth Path ◽  
Aerial Vehicle ◽  
The Stability

A guidance law has been designed to guide the small unmanned aerial vehicle towards the predefined horizontal smooth path. The guidance law only needs the mathematical expression for the predefined path, the positions, and the velocities of the vehicle in the horizontal inertial frame. The stability of the guidance law has been demonstrated by the Lyapunov stability arguments. In order to improve the path following performance, one of the parameters of the guidance law is tuned by using the fuzzy logic which will still keep its stability. The simulation experiments in the Matlab/Simulink environment to realize the square-, circular-, and the athletics track-style paths following are given to verify the effectiveness of the proposed method. The simulation results show that the path following performance will be improved with smaller overshoot and oscillation amplitude and shorter arrival time with the parameter tuned.

Development of Flight Guidance System of a Small Unmanned Aerial Vehicle (UAV)

2011 ◽  
Author(s):  
R. A. Sasongko ◽  
J. Sembiring
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Detection System ◽  
Path Following ◽  
Flight Path ◽  
Guidance System ◽  
Angle Difference ◽  
Flight Guidance ◽  
Aerial Vehicle ◽  
Ground Condition ◽  
Destination Point

This paper presents the development of a guidance system for a small Unmanned Aerial Vehicle (UAV) system which combines a waypoints following and an obstacle avoidance systems so that the UAV has a capability to operate in an environment whose ground condition is not completely known. The waypoints following system works by adopting the VOR-Hold approach, in which a correction command will be produced to reduce the angle difference between the desired path and the line connecting the actual UAV position and the subsequent destination point. An avoidance algorithm is developed and integrated with the path following system. In case of the UAV faces an obstacle lying on its flight path, then the avoidance system will generate a set of new waypoints for correcting the flight path, so that the UAV can avoid the obstacle and then returns to the previous flight path. The proposed avoidance approach bases its algorithm on the utilization of ellipsoid geometry for defining a restricted zone containing the obstacle, which is assumed to be already identified by the detection system. When the restricted ellipsoid zone has already been established, the algorithm then computes the locations of new waypoints on the edge of the ellipsoid. The algorithm then is simulated and evaluated in some cases representing situations when an UAV has to avoid obstacles during its flight to a predefined destination.

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