Visibility-Constrained Control of Multirotor via Reference Governor
Dabin Kim, Matthias Pezzutto, Luca Schenato, and H. Jin Kim

TL;DR
This paper introduces a novel reference governor method for multirotor drones that ensures visibility constraints are maintained during tracking, with theoretical guarantees and real-time implementation validated through simulations and hardware tests.
Contribution
A new reference governor for linear systems with polynomial constraints that enforces visibility constraints in real-time multirotor control with theoretical feasibility guarantees.
Findings
Successfully maintains visibility constraints in real-time control
Validated approach through simulations and hardware experiments
Ensures control-level visibility constraints with theoretical guarantees
Abstract
For safe vision-based control applications, perception-related constraints have to be satisfied in addition to other state constraints. In this paper, we deal with the problem where a multirotor equipped with a camera needs to maintain the visibility of a point of interest while tracking a reference given by a high-level planner. We devise a method based on reference governor that, differently from existing solutions, is able to enforce control-level visibility constraints with theoretically assured feasibility. To this end, we design a new type of reference governor for linear systems with polynomial constraints which is capable of handling time-varying references. The proposed solution is implemented online for the real-time multirotor control with visibility constraints and validated with simulations and an actual hardware experiment.
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Taxonomy
TopicsAdvanced Vision and Imaging · Advanced Control Systems Optimization · Robotic Path Planning Algorithms
