Globally Asymptotically Stable Trajectory Tracking of Underactuated UAVs using Geometric Algebra
By: Ignacio Rubio Scola , Omar Alejandro Garcia Alcantara , Steven Sandoval and more
Potential Business Impact:
Makes robots move smoothly and precisely.
This paper employs Geometric Algebra (GA) tools to model the dynamics of objects in 3-dimensional space, serving as a proof of concept to facilitate control design for trajectory tracking in underactuated systems. For control purposes, the model is structured as a cascade system, where a rotational subsystem drives a translational one. The rotational subsystem is linear, while the translational subsystem follows a linear-plus-perturbation form, thereby reducing the complexity of control design. A control strategy requiring only simple operations, no memory, and no iterative search loops is presented to illustrate the main features of the GA model. By employing GA to model both translations and rotations, a singularity-free and geometrically intuitive representation can be achieved through the use of the geometric product. Closed-loop stability is rigorously established using input-to-state stability methods. Numerical simulations of a quad tilt-rotorcraft performing trajectory tracking in a windy environment validate the controller's stability and performance.
Similar Papers
Geometrization of Higher-Order Linear Control Laws for Attitude Control on $\mathsf{SO(3)}$
Systems and Control
Makes drones fly straighter and more stable.
High-Performance Trajectory Tracking MPC for Quadcopters with Coupled Time-Varying Constraints and Stability Proofs
Systems and Control
Drones fly straighter and faster with new control.
A Unified Finite-Time Sliding Mode Quaternion-based Tracking Control for Quadrotor UAVs without Time Scale Separation
Systems and Control
Makes drones fly straighter and faster.