Adaptive Controllers for Quadrotors Carrying Unknown Payloads
Viswa Narayanan Sankaranarayanan

TL;DR
This paper introduces adaptive control methods for quadrotors to handle unknown payload variations and external disturbances, ensuring stable flight during payload transport and vertical operations.
Contribution
It proposes two novel adaptive control solutions that do not require prior knowledge of payload parameters or disturbances, addressing dynamic uncertainties in aerial payload transportation.
Findings
Effective tracking control for unknown payloads demonstrated in simulations.
Robust altitude maintenance during payload loading/unloading shown in switched dynamic models.
Stability of the proposed control systems analytically verified.
Abstract
With the advent of intelligent transport, quadrotors are becoming an attractive solution while lifting or dropping payloads during emergency evacuations, construction works, etc. During such operations, dynamic variations in (possibly unknown) payload cause considerable changes in the system dynamics. However, a systematic control solution to tackle such varying dynamical behaviour is still missing. In this work, two control solutions are proposed to solve two specific problems in aerial transportation of payload, as mentioned below. In the first work, we explore the tracking control problem for a six degrees-of-freedom quadrotor carrying different unknown payloads. Due to the state-dependent nature of the uncertainties caused by variation in the dynamics, the state-of-the-art adaptive control solutions would be ineffective against these uncertainties that can be completely unknown and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdaptive Control of Nonlinear Systems · Stability and Control of Uncertain Systems · Control and Dynamics of Mobile Robots
