Constraint-Aware Mesh Refinement Method by Reachability Set Envelope of Curvature Bounded Paths
Juho Bae, Ji Hoon Bai, Byung-Yoon Lee, Jun-Yong Lee
TL;DR
This work tackles inter-sample constraint violations in real-time direct-method optimal control by constructing an envelope of reachability sets for curvature-bounded planar paths (Dubins-style) and integrating a patch-based mesh refinement that guarantees obstacle-avoidance between sample points. The envelope is built via a sequence of augmented optimal-control problems and PMP analysis, yielding a finite set of trajectory classes (CSC/CCC) that bound feasible interpolants. A Rectangular Patch Cover framework tests envelope intersections with forbidden regions, and a Definiteness Theorem proves finite mesh refinement under a tolerance, enabling reliable inter-sample collision avoidance within a Sequential Convex Programming setting. Numerical demonstrations on 2D fixed-wing UAVs with circular no-fly zones show improved convergence and maintained real-time feasibility, suggesting practical impact for onboard trajectory optimization and potential extension to higher dimensions.
Abstract
This paper presents an enhanced direct-method-based approach for the real-time solution of optimal control problems to handle path constraints, such as obstacles. The principal contributions of this work are twofold: first, the existing methods for constructing reachability sets in the literature are extended to derive the envelope of these sets, which determines the region swept by all feasible trajectories between adjacent sample points. Second, we propose a novel method to guarantee constraint violation-free between discrete states in two dimensions through mesh refinement approach. To illustrate the effectiveness of the proposed methodology, numerical simulations are conducted on real-time path planning for fixed-wing unmanned aerial vehicles.
