Non-cascaded Control Barrier Functions for the Safe Control of Quadrotors
Weifeng Zeng, Huanhui Cao, Wenjie Lu, and Hao Xiong

TL;DR
This paper introduces a non-cascaded Control Barrier Function (CBF) integrated with Quadratic Programming to enhance quadrotor safety during normal and abnormal states, applicable to various control schemes and tested in simulations.
Contribution
It proposes a novel non-cascaded CBF that ensures safety for quadrotors under different control architectures, including cascaded and non-cascaded controllers.
Findings
Successfully maintains safety during trajectory tracking.
Ensures safety during aggressive maneuvers.
Establishes a non-conservative safe region.
Abstract
Researchers have developed various cascaded controllers and non-cascaded controllers for the navigation and control of quadrotors in recent years. It is vital to ensure the safety of a quadrotor both in normal state and in abnormal state if a controller tends to make the quadrotor unsafe. To this end, this paper proposes a non-cascaded Control Barrier Function (CBF) for a quadrotor controlled by either cascaded controllers or a non-cascaded controller. Incorporated with a Quadratic Programming (QP), the non-cascaded CBF can simultaneously regulate the magnitude of the total thrust and the torque of the quadrotor determined a controller, so as to ensure the safety of the quadrotor both in normal state and in abnormal state. The non-cascaded CBF establishes a non-conservative forward invariant safe region, in which the controller of a quadrotor is fully or partially effective in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdaptive Control of Nonlinear Systems · Advanced Control Systems Optimization · Robotic Path Planning Algorithms
