Paper Info
Title
Model predictive control for a multi-body slung-load system.
Abstract
In this paper we present a multi-level and distributed control system, based on a robust Model Predictive Control (MPC) technique, for a multi-body slung-load system. In particular, we consider a swarm of autonomous multi-copters which are connected by wires to a suspended payload. The payload reference trajectory is obtained through a constrained optimization, then the reference trajectory for each UAV is derived on the basis of the known shape of the formation, while taking into account operational constraints such as collision avoidance and cruise speed. Trajectory tracking is performed by a multi-level flight control system based on a MPC technique and a PID control system. Numerical simulations have been performed in order to test the control system in realistic scenarios. In particular, the multi-copters are modeled by the six Degrees-of-Freedom (6DOF) model, the constraint forces on the wires are calculated using the Udwadia–Kalaba equation and the external disturbances (atmospheric turbulence and gust) are included in the simulation. Simulation results are encouraging, thus making the proposed system an appealing candidate for similar applications.
Year
DOI
Venue
2017
10.1016/j.robot.2017.02.007
Robotics and Autonomous Systems
Keywords
Field
DocType
UAV,Slung-load system,Coordination control,Obstacle avoidance,MPC
Obstacle avoidance,Swarm behaviour,Simulation,Computer science,Model predictive control,Control system,Trajectory,Constrained optimization,Payload,Distributed control system
Journal
Volume
ISSN
Citations 
92
0921-8890
6
PageRank 
References 
Authors
0.70
11
5
Name
Order
Citations
PageRank
Gaetano Tartaglione163.40
Egidio D'Amato281.47
Marco Ariola372.08
Pierluigi Salvo Rossi432827.27
Tor A. Johansen51008148.90