Newton-Raphson Flow for Aggressive Quadrotor Tracking Control
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866911111290290176 |
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| author | Morales-Cuadrado, Evanns Llanes, Christian Wardi, Yorai Coogan, Samuel |
| author_facet | Morales-Cuadrado, Evanns Llanes, Christian Wardi, Yorai Coogan, Samuel |
| contents | We apply the Newton-Raphson flow tracking controller to aggressive quadrotor flight and demonstrate that it achieves good tracking performance over a suite of benchmark trajectories, beating the native trajectory tracking controller in the popular PX4 Autopilot. The Newton-Raphson flow tracking controller is a recently proposed integrator-type controller that aims to drive to zero the error between a future predicted system output and the reference trajectory. This controller is computationally lightweight, requiring only an imprecise predictor, and achieves guaranteed asymptotic error bounds under certain conditions. We show that these theoretical advantages are realizable on a quadrotor hardware platform. Our experiments are conducted on a Holybrox x500v2 quadrotor using a Pixhawk 6x flight controller and a Rasbperry Pi 4 companion computer which receives location information from an OptiTrack motion capture system and sends input commands through the ROS2 API for the PX4 software stack. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_11197 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Newton-Raphson Flow for Aggressive Quadrotor Tracking Control Morales-Cuadrado, Evanns Llanes, Christian Wardi, Yorai Coogan, Samuel Robotics Systems and Control Optimization and Control We apply the Newton-Raphson flow tracking controller to aggressive quadrotor flight and demonstrate that it achieves good tracking performance over a suite of benchmark trajectories, beating the native trajectory tracking controller in the popular PX4 Autopilot. The Newton-Raphson flow tracking controller is a recently proposed integrator-type controller that aims to drive to zero the error between a future predicted system output and the reference trajectory. This controller is computationally lightweight, requiring only an imprecise predictor, and achieves guaranteed asymptotic error bounds under certain conditions. We show that these theoretical advantages are realizable on a quadrotor hardware platform. Our experiments are conducted on a Holybrox x500v2 quadrotor using a Pixhawk 6x flight controller and a Rasbperry Pi 4 companion computer which receives location information from an OptiTrack motion capture system and sends input commands through the ROS2 API for the PX4 software stack. |
| title | Newton-Raphson Flow for Aggressive Quadrotor Tracking Control |
| topic | Robotics Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2408.11197 |