Real-time model predictive line following control for underactuated marine vehicles
Conference Paper
Publication Date:
2017
abstract:
A linear model predictive control (LMPC) based framework is developed for underactuated marine vehicles' kinematic line following while moving at a constant depth in the presence of disturbance. LMPC is used as a high level controller which sets the reference surge and yaw velocities for the low level PID tracking controllers. Used ACADO optimization toolbox solves the optimal problem at hand in real-time. This framework has shown good results both in simulation environment and in on-sea experiments. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
unmanned marine vehicles; marine systems navigation; guidance and control; model predictive control; disturbance rejection
List of contributors:
Caccia, Massimo; Bibuli, Marco
Published in: