Event
Research on Control Barrier Functions for Allocation Readiness of Multirotors
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Giuseppe Silano submitted a paper proposing to execute control barrier functions at the torque level via quadratic programming in the allocation null space of overactuated multirotors, maintaining control authority as a forward invariant. The method was validated in simulations of a hexarotor and a fully actuated octorotor, with closed-form solutions and simulation results matching to machine precision. In 300 randomized missions, the greedy maximization scheme violated the certification lower bound in up to 51% of authority-scarce missions, whereas the proposed filter never left the certification set, and in the hardest torque-reversal scenario the torque error was 79 times smaller; the robust variant maintained the lower bound on all 150 perturbed objects. All of the above are simulation results reported in the paper.
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- Readiness Barrier Functions: Forward-Invariant Control Authority for Overactuated Multirotor Allocation
This paper proposes enforcing a control barrier function at the torque level via a quadratic program in the allocation null space, keeping the control authority of an overactuated multirotor forward-invariant. In simulations of a hexarotor and a fully actuated octorotor, across 300 randomized tasks, the greedy maximization scheme violated the certified lower bound in up to 51% of authority-scarce tasks, whereas the proposed filter never left the certified set, and in the hardest torque-reversal scenario the torque error was 79 times smaller; the robust variant maintained the lower bound on all 150 perturbed objects.
arXiv cs.RO ·