Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect Vehicle
Autonomous vehicles are nowadays one of the most important technologies that will be incorporated to every day life in the next few years. One of the most promising kind of vehicles in terms of efficiency and sustainability are those known as Wing-in-Ground crafts, or WIG crafts, a family of vehicle...
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2021-06-01
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doaj-3e57991a1aa349fc8dcc98cd585e201f2021-07-01T00:33:08ZengMDPI AGSensors1424-82202021-06-01214193419310.3390/s21124193Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect VehicleDavide Patria0Claudio Rossi1Ramon A. Suarez Fernandez2Sergio Dominguez3Politecnico Di Torino, 10129 Torino, ItalyCentre for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentre for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentre for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, 28006 Madrid, SpainAutonomous vehicles are nowadays one of the most important technologies that will be incorporated to every day life in the next few years. One of the most promising kind of vehicles in terms of efficiency and sustainability are those known as Wing-in-Ground crafts, or WIG crafts, a family of vehicles that seize the proximity of ground to achieve a flight with low drag and high lift. However, this kind of crafts lacks of a sound theory of flight that can lead to robust control solutions that guarantees safe autonomous operation in all the cruising phases.In this paper we address the problem of controlling a WIG craft in different scenarios and using different control strategies in order to compare their performance. The tested scenarios include obstacle avoidance by fly over and recovering from a random disturbance in vehicle attitude. MPC (Model Predictive Control) is tested on the complete nonlinear model, while PID, used as baseline controller, LQR (Linear Quadratic Regulator) and adaptive LQR are tested on top of a partial feedback linearization. Results show that LQR has got the best overall performance, although it is seen that different design specifications could lead to the selection of one controller or another.https://www.mdpi.com/1424-8220/21/12/4193Unmanned Surface Vehiclesground effect vehicleautonomous WIG craftstabilitynonlinear control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Davide Patria Claudio Rossi Ramon A. Suarez Fernandez Sergio Dominguez |
spellingShingle |
Davide Patria Claudio Rossi Ramon A. Suarez Fernandez Sergio Dominguez Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect Vehicle Sensors Unmanned Surface Vehicles ground effect vehicle autonomous WIG craft stability nonlinear control |
author_facet |
Davide Patria Claudio Rossi Ramon A. Suarez Fernandez Sergio Dominguez |
author_sort |
Davide Patria |
title |
Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect Vehicle |
title_short |
Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect Vehicle |
title_full |
Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect Vehicle |
title_fullStr |
Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect Vehicle |
title_full_unstemmed |
Nonlinear Control Strategies for an Autonomous Wing-In-Ground-Effect Vehicle |
title_sort |
nonlinear control strategies for an autonomous wing-in-ground-effect vehicle |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-06-01 |
description |
Autonomous vehicles are nowadays one of the most important technologies that will be incorporated to every day life in the next few years. One of the most promising kind of vehicles in terms of efficiency and sustainability are those known as Wing-in-Ground crafts, or WIG crafts, a family of vehicles that seize the proximity of ground to achieve a flight with low drag and high lift. However, this kind of crafts lacks of a sound theory of flight that can lead to robust control solutions that guarantees safe autonomous operation in all the cruising phases.In this paper we address the problem of controlling a WIG craft in different scenarios and using different control strategies in order to compare their performance. The tested scenarios include obstacle avoidance by fly over and recovering from a random disturbance in vehicle attitude. MPC (Model Predictive Control) is tested on the complete nonlinear model, while PID, used as baseline controller, LQR (Linear Quadratic Regulator) and adaptive LQR are tested on top of a partial feedback linearization. Results show that LQR has got the best overall performance, although it is seen that different design specifications could lead to the selection of one controller or another. |
topic |
Unmanned Surface Vehicles ground effect vehicle autonomous WIG craft stability nonlinear control |
url |
https://www.mdpi.com/1424-8220/21/12/4193 |
work_keys_str_mv |
AT davidepatria nonlinearcontrolstrategiesforanautonomouswingingroundeffectvehicle AT claudiorossi nonlinearcontrolstrategiesforanautonomouswingingroundeffectvehicle AT ramonasuarezfernandez nonlinearcontrolstrategiesforanautonomouswingingroundeffectvehicle AT sergiodominguez nonlinearcontrolstrategiesforanautonomouswingingroundeffectvehicle |
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