학술논문

Adaptive Artificial Time Delay Control for Quadrotors under State-dependent Unknown Dynamics
Document Type
Conference
Source
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO) Robotics and Biomimetics (ROBIO), 2022 IEEE International Conference on. :1092-1097 Dec, 2022
Subject
Computing and Processing
Robotics and Control Systems
Uncertainty
Delay effects
Inspection
Aerodynamics
Stability analysis
Time measurement
Delays
Language
Abstract
Quadrotors are becoming more and more essential for applications such as payload delivery, inspection and search-and-rescue. Such operations pose considerable control challenges, especially when various (a priori unbounded) state-dependent unknown dynamics arises from payload variations, aerodynamic effects and from reaction forces while operating close to the ground or in a confined space. However, existing adaptive control strategies for quadrotors cannot handle unknown state-dependent uncertainties. We address such unsolved control challenge in this work via a novel adaptive method for artificial time delay control,where unknown dynamics is robustly compensated by using input and state measurements collected at immediate past time instant (i.e., artificially delayed). Closed-loop stability is established via Lyapunov theory. The effectiveness of this controller is validated using experimental results.