A controller for stable flight and precise tracking of a multirotor unmanned aerial vehicle (UAV) carrying a heavy slung load is presented within this paper. A novel mathematical model for the multi-body system is derived. Based on that model, a Model Predictive Control (MPC) scheme is designed and applied to the system. Stability and tracking ability are demonstrated through numerical simulation. The performance of the system using the MPC strategy is compared to a linear-quadratic regulator (LQR) control approach. The simulation results are then verified by real flight tests, whereby the MPC is applied to a real multirotor UAV with a heavy slung load. The system is capable of actively damping load oscillations whilst simultaneously tracking a reference trajectory.
Description
Modelling, Simulation and Flight Test of a Model Predictive Controlled Multirotor with Heavy Slung Load - ScienceDirect
%0 Conference Paper
%1 NOTTER2016182
%A Notter, S.
%A Heckmann, A.
%A Mcfadyen, A.
%A Gonzalez, F.
%B Proceedings of the 20th IFAC Symposium on Automatic Control in Aerospace 2016
%D 2016
%K ifr
%N 17
%P 182-187
%R 10.1016/j.ifacol.2016.09.032
%T Modelling, Simulation and Flight Test of a Model Predictive Controlled Multirotor with Heavy Slung Load
%V 49
%X A controller for stable flight and precise tracking of a multirotor unmanned aerial vehicle (UAV) carrying a heavy slung load is presented within this paper. A novel mathematical model for the multi-body system is derived. Based on that model, a Model Predictive Control (MPC) scheme is designed and applied to the system. Stability and tracking ability are demonstrated through numerical simulation. The performance of the system using the MPC strategy is compared to a linear-quadratic regulator (LQR) control approach. The simulation results are then verified by real flight tests, whereby the MPC is applied to a real multirotor UAV with a heavy slung load. The system is capable of actively damping load oscillations whilst simultaneously tracking a reference trajectory.
@inproceedings{NOTTER2016182,
abstract = {A controller for stable flight and precise tracking of a multirotor unmanned aerial vehicle (UAV) carrying a heavy slung load is presented within this paper. A novel mathematical model for the multi-body system is derived. Based on that model, a Model Predictive Control (MPC) scheme is designed and applied to the system. Stability and tracking ability are demonstrated through numerical simulation. The performance of the system using the MPC strategy is compared to a linear-quadratic regulator (LQR) control approach. The simulation results are then verified by real flight tests, whereby the MPC is applied to a real multirotor UAV with a heavy slung load. The system is capable of actively damping load oscillations whilst simultaneously tracking a reference trajectory.},
added-at = {2021-02-13T16:34:14.000+0100},
author = {Notter, S. and Heckmann, A. and Mcfadyen, A. and Gonzalez, F.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c68387c1528494b70d7fd892e1c256df/janolucak},
booktitle = {Proceedings of the 20th IFAC Symposium on Automatic Control in Aerospace 2016},
description = {Modelling, Simulation and Flight Test of a Model Predictive Controlled Multirotor with Heavy Slung Load - ScienceDirect},
doi = {10.1016/j.ifacol.2016.09.032},
eventdate = {21-25 August, 2016},
interhash = {8621930ab5abb6161ee2603536226e98},
intrahash = {c68387c1528494b70d7fd892e1c256df},
issn = {2405-8963},
keywords = {ifr},
note = {20th IFAC Symposium on Automatic Control in AerospaceACA 2016},
number = 17,
pages = {182-187},
timestamp = {2021-02-22T14:43:24.000+0100},
title = {Modelling, Simulation and Flight Test of a Model Predictive Controlled Multirotor with Heavy Slung Load},
venue = {Sherbrooke, Canada},
volume = 49,
year = 2016
}
