Robust control of ship fin stabilizers subject to disturbances and constraints

Authors:
Reza Ghaemi;Jing Sun;Ilya V. Kolmanovsky
Affiliations:
Department of Electrical Engineering and Computer Science, Department of Naval Architecture, Marine Engineering, University of Michigan, Ann Arbor, MI;Department of Electrical Engineering and Computer Science, Department of Naval Architecture, Marine Engineering, University of Michigan, Ann Arbor, MI;Ford Motor Company, Dearborn, MI
Venue:
ACC'09 Proceedings of the 2009 conference on American Control Conference
Year:
2009

Citing 7
Cited 0

Stable generalized predictive control with constraints and bounded disturbances

Automatica (Journal of IFAC)
Set-Theoretic Methods in Control

Set-Theoretic Methods in Control
Survey Constrained model predictive control: Stability and optimality

Automatica (Journal of IFAC)
Systems with persistent disturbances: predictive control with restricted constraints

Automatica (Journal of IFAC)
Brief Robust receding horizon predictive control for systems with uncertain dynamics and input saturation

Automatica (Journal of IFAC)
Robust model predictive control using tubes

Automatica (Journal of IFAC)
Robust model predictive control of constrained linear systems with bounded disturbances

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is concerned with constrained roll control of ship fin stabilizers operating in wave fields. Our approach is based on a robust control algorithm for linear discrete-time systems subject to bounded additive disturbances and a general class of input-state constraints. The proposed method is applied to control of fin stabilizers. Simulation results show that the proposed robust control method reduces the ship roll motion while satisfying the input and dynamic stall constraints. The proposed control algorithm does not involve on-line optimization, except for a linear program solved at initialization. On the theory side, we present a generalized form of our robust constrained control algorithm to the case of mixed state-input constraints.