A modular open source real-time simulation environment for linear model predictive control (LMPC) of line following at a constant depth is developed for underactuated marine vehicles. Two-stage tuning method of MPC's parameters is implemented as an extension of this simulator. MPC is used for high level control, i.e. setting the yaw rate reference, which is then tracked by the low level PID controllers. Simulation and experimental results show good performance of our MPC-PID control scheme when compared to ordinary PID controllers using Lyapunov-based guidance law.

Development of model predictive guidance for underactuated marine vehicles: From simulations to experiments

Bibuli Marco;Caccia Massimo;Bruzzone Gabriele
2017

Abstract

A modular open source real-time simulation environment for linear model predictive control (LMPC) of line following at a constant depth is developed for underactuated marine vehicles. Two-stage tuning method of MPC's parameters is implemented as an extension of this simulator. MPC is used for high level control, i.e. setting the yaw rate reference, which is then tracked by the low level PID controllers. Simulation and experimental results show good performance of our MPC-PID control scheme when compared to ordinary PID controllers using Lyapunov-based guidance law.
2017
Istituto di Studi sui Sistemi Intelligenti per l'Automazione - ISSIA - Sede Bari
Inglese
MTS/IEEE Oceans 2017
6
978-1-5090-5278-3
Sì, ma tipo non specificato
19-22 June 2017
Aberdeen (UK)
Model predictive control
marine robotics
3
none
Kapetanovic, Nadir; Miskovic, Nikola; Nad, Dula; Bibuli, Marco; Caccia, Massimo; Bruzzone, Gabriele
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   Excelling LABUST in marine robotics
   EXCELLABUST
   H2020
   691980
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/426651
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