Differential flatness based hybrid PID/LQR flight controller for complex trajectory tracking in quadcopter UAVs

Author(s):  
Rumit Kumar ◽  
Matthew Dechering ◽  
Abhishek Pai ◽  
Austin Ottaway ◽  
M. Radmanesh ◽  
...  
2004 ◽  
Vol 14 (03) ◽  
pp. 1059-1069 ◽  
Author(s):  
CARLOS AGUILAR-IBÁÑEZ ◽  
MIGUEL SUÁREZ-CASTAÑÓN ◽  
HEBERTT SIRA-RAMÍREZ

In this paper, we present a flatness based control approach for the stabilization and tracking problem, for the well-known Chua chaotic circuit, that includes an additional input. We introduce two feedback controller design options for the set-point stabilization and the trajectory tracking problem: a direct pole placement approach, and Generalized Proportional Integral (GPI) approach based only on measured inputs and outputs.


Author(s):  
W.C. Lu ◽  
L. Duan ◽  
Hsiao Fei-Bin ◽  
F. Mora-Camino

2021 ◽  
Author(s):  
Olivier Mullier ◽  
Julien Alexandre dit Sandretto

The problem of a safe trajectory tracking is addressed in this paper. It consists in using the results of a validated path planner providing a set of safe trajectories to produce the set of controls to apply to remain inside this set of planned trajectories while avoiding static obstacles. This computation is performed using the differential flatness of many dynamical systems. The method is illustrated in the case of the Dubins car.


Author(s):  
Elkin Yesid Veslin Díaz ◽  
Jules G. Slama ◽  
Max Suell Dutra ◽  
Omar Lengerke Pérez ◽  
Hernán Gonzalez Acuña

One solution for trajectory tracking in a non-holonomic vehicle, like a mobile robot, is proposed in this chapter. Using the boundary values, a desired route is converted into a polynomial using a point-to-point algorithm. With the properties of Differential Flatness, the system is driven along this route, finding the necessary input values so that the system can perform the desired movement.


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