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NOVÁK, J.; HANÁK, J.; CHUDÝ, P.
Original Title
Reliability-Based Control System Optimization in Uncertain Conditions
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
This paper presents an automated control system tuning approach with emphasis on reliability with respect to vehicle's Operational Design Domain (ODD). A joined approach based on Cross-Entropy Method (CEM) and Polynomial Chaos Expansion (PCE) Kriging based surrogate model is used to sample candidate set of system parameters and estimate failure boundary region considering specified ODD. The estimated probability of failure is subsequently used for the sampling distribution update. We show the effectiveness of this approach on number of examples such as control system optimization of Unmanned Aerial vehicle (UAV) modified for aerial grasping. A dedicated Nonlinear Model Predictive Control (NMPC) is developed to solve the coupled control of UAV and robotic arm simultaneously.
English abstract
Keywords
Polynomial Chaos Expansion, Cross-Entropy Method, Model Predictive Control
Key words in English
Authors
RIV year
2025
Released
02.08.2024
Publisher
American Institute of Aeronautics and Astronautics
Location
Las Vegas
ISBN
978-1-62410-716-0
Book
AIAA Aviation Forum and ASCEND, 2024
Pages from
1
Pages to
15
Pages count
URL
https://arc.aiaa.org/doi/10.2514/6.2024-4571
BibTex
@inproceedings{BUT189119, author="Jiří {Novák} and Jiří {Hanák} and Peter {Chudý}", title="Reliability-Based Control System Optimization in Uncertain Conditions", booktitle="AIAA Aviation Forum and ASCEND, 2024", year="2024", pages="1--15", publisher="American Institute of Aeronautics and Astronautics", address="Las Vegas", doi="10.2514/6.2024-4571", isbn="978-1-62410-716-0", url="https://arc.aiaa.org/doi/10.2514/6.2024-4571" }