制御と可観測性を両立する軌道計画フレームワークCOP
COP: Control & Observability-aware Planning
閉ループ感度に基づく制御追従性と可観測性という相反しうる目的を単一目的最適化でバランスさせ、ベジェ曲線軌道を生成する枠組みを提案し、3Dクアッドロータで有効性を示した。
著者: Christoph Böhm, Pascal Brault, Quentin Delamare, Paolo Robuffo Giordano, Stephan Weiss
分類: cs.RO
原文アブストラクト
In this research, we aim to answer the question: How to combine Closed-Loop State and Input Sensitivity-based with Observability-aware trajectory planning? These possibly opposite optimization objectives can be used to improve trajectory control tracking and, at the same time, estimation performance. Our proposed novel Control & Observability-aware Planning (COP) framework is the first that uses these possibly opposing objectives in a Single-Objective Optimization Problem (SOOP) based on the Augmented Weighted Tchebycheff method to perform the balancing of them and generation of B\'ezier curve-based trajectories. Statistically relevant simulations for a 3D quadrotor unmanned aerial vehicle (UAV) case study produce results that support our claims and show the negative correlation between both objectives. We were able to reduce the positional mean integral error norm as well as the estimation uncertainty with the same trajectory to comparable levels of the trajectories optimized with individual objectives.
