3.8 Proceedings Paper

Robust Adaptive Control of a Multirotor with an Unknown Suspended Payload

Journal

IFAC PAPERSONLINE
Volume 53, Issue 2, Pages 9432-9439

Publisher

ELSEVIER
DOI: 10.1016/j.ifacol.2020.12.2414

Keywords

Learning and adaptation in autonomous vehicles; Multirotor; UAV; Suspended payload; Model reference adaptive control; Robust

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This paper addresses the problem of a multirotor carrying an unknown suspended payload, allowed to swing in one axis. The payload is unknown in the sense that its parameters, such as the payload mass and cable length, are unknown and its state, the swing angles, are not available for measurement. The suspended payload alters the flight dynamics of the vehicle considerably and the flight controllers need to minimize this effect. A robust model reference adaptive control technique is designed and implemented to minimize the effect of the suspended payload on the vehicle while allowing the controller to adapt to account for the unknown payload. The controller is modified to reject external disturbances and to be robust in the presence of sensor noise and drift. In simulation, this technique proves to dampen the oscillations caused by the payload. A quadrotor was built to practically demonstrate the effectiveness of the controller. The PX4 flight control stack is considered for the firmware of the vehicle. The model reference adaptive controller was implemented and succeeded to dampen the oscillations caused by the payload in a practical flight. Copyright (C) 2020 The Authors.

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