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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Main Authors: Davide Patria, Claudio Rossi, Ramon A. Suarez Fernandez, Sergio Dominguez
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/12/4193
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spelling 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
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AT claudiorossi nonlinearcontrolstrategiesforanautonomouswingingroundeffectvehicle
AT ramonasuarezfernandez nonlinearcontrolstrategiesforanautonomouswingingroundeffectvehicle
AT sergiodominguez nonlinearcontrolstrategiesforanautonomouswingingroundeffectvehicle
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