Trajectory Tracking for Quadrotors with Attitude Control on S^2 ×S^1

06/17/2019
by   Dave Kooijman, et al.
0

The control of a quadrotor is typically split into two subsequent problems: finding desired accelerations to control its position, and controlling its attitude and the total thrust to track these accelerations and to track a yaw angle reference. While the thrust vector, generating accelerations, and the angle of rotation about the thrust vector, determining the yaw angle, can be controlled independently, most attitude control strategies in the literature, relying on representations in terms of quaternions, rotation matrices or Euler angles, result in an unnecessary coupling between the control of the thrust vector and of the angle about this vector. This leads, for instance, to undesired position tracking errors due to yaw tracking errors. In this paper we propose to tackle the attitude control problem using an attitude representation in the Cartesian product of the 2-sphere and the 1-sphere, denoted by S^2×S^1. We propose a non-linear tracking control law on S^2×S^1 that decouples the control of the thrust vector and of the angle of rotation about the thrust vector, and guarantees almost global asymptotic stability. Simulation results highlight the advantages of the proposed approach over previous approaches.

READ FULL TEXT
research
12/03/2022

Quadcopter Tracking Using Euler-Angle-Free Flatness-Based Control

Quadcopter trajectory tracking control has been extensively investigated...
research
12/14/2015

On the Relation between two Rotation Metrics

In their work "Global Optimization through Rotation Space Search", Richa...
research
11/24/2020

Rotational Error Metrics for Quadrotor Control

We analyze and experimentally compare various rotational error metrics f...
research
10/03/2019

1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)

This paper proposes a RANSAC-based algorithm for determining the axial r...
research
06/06/2017

Characterization of Spherical and Plane Curves Using Rotation Minimizing Frames

In this work we furnish characterizations of spherical and plane curves ...
research
11/10/2021

TomoSLAM: factor graph optimization for rotation angle refinement in microtomography

In computed tomography (CT), the relative trajectories of a sample, a de...
research
06/27/2020

A Tool for Automatic Estimation of Patient Position in Spinal CT Data

Much of the recently available research and challenge data lack the meta...

Please sign up or login with your details

Forgot password? Click here to reset