Lyapunov-based trajectory tracking controller for a fixed-wing unmanned aerial vehicle in the presence of wind

2014 ◽  
Vol 29 (3) ◽  
pp. 372-384 ◽  
Author(s):  
A. Brezoescu ◽  
R. Lozano ◽  
P. Castillo
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Trajectory Tracking ◽  
Tracking Controller ◽  
Aerial Vehicle ◽  
Trajectory Tracking Controller

A trajectory tracking controller with dynamic gains for mobile robots

2011 ◽  
Author(s):  
Cassius Z. Resende ◽  
F. Espinosa ◽  
I. Bravo ◽  
Mario Sarcinelli-Filho ◽  
Teodiano F. Bastos-Filho
Keyword(s):  
Mobile Robots ◽  
Trajectory Tracking ◽  
Tracking Controller ◽  
Trajectory Tracking Controller

A self-tuning trajectory tracking controller for wheeled mobile robots

2019 ◽  
Vol 46 (6) ◽  
pp. 828-838 ◽  
Author(s):  
Pouya Panahandeh ◽  
Khalil Alipour ◽  
Bahram Tarvirdizadeh ◽  
Alireza Hadi
Keyword(s):  
Neural Networks ◽  
Convergence Rate ◽  
Mobile Robots ◽  
Trajectory Tracking ◽  
Suggested Method ◽  
Wheeled Mobile Robots ◽  
Trajectory Tracking Control ◽  
Content Type ◽  
Tracking Controller ◽  
Trajectory Tracking Controller

Purpose Trajectory tracking is a common problem in the field of mobile robots which has attracted a lot of attention in the past two decades. Therefore, besides the search for new controllers to achieve a better performance, improvement and optimization of existing control rules are necessary. Trajectory tracking control laws usually contain constant gains which affect greatly the robot’s performance. Design/methodology/approach In this paper, a method based on neural networks is introduced to automatically upgrade the gains of a well-known trajectory tracking controller of wheeled mobile robots. The suggested method speeds up the convergence rate of the main controller. Findings Simulations and experiments are performed to assess the ability of the suggested scheme. The obtained results show the effectiveness of the proposed method. Originality/value In this paper, a method based on neural networks is introduced to automatically upgrade the gains of a well-known trajectory tracking controller of wheeled mobile robots. The suggested method speeds up the convergence rate of the main controller.

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