DocumentCode :
728602
Title :
Full state sliding mode trajectory tracking control for general planar vessel models
Author :
Ashrafiuon, Hashem ; Nersesov, Sergey ; Mahini, Farshad ; Clayton, Garrett
Author_Institution :
Dept. of Mech. Eng., Villanova Univ., Villanova, PA, USA
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
5158
Lastpage :
5163
Abstract :
A novel trajectory tracking sliding mode control law for general planar underactuated autonomous vessel models is presented where all six position and velocity states are asymptotically stabilized. The approach is based on defining a transitional trajectory vector function which can be used to reduce the sixth order system to a fourth order one with two control inputs. It is then shown that the stabilization of the reduced order system guarantees asymptotic stability of all six system states where the only restriction for reference trajectory is that it must satisfy the vessel´s nonholonomic constraint. The most important advantages of the approach are that it does not require any specific structure for the forcing functions such as hydrodynamic damping, it is robust to modeling uncertainties and disturbances, and it can be applied to models with diagonal and non-diagonal mass matrices. Simulation results are presented for an autonomous surface vessel.
Keywords :
asymptotic stability; matrix algebra; reduced order systems; robust control; trajectory control; uncertain systems; variable structure systems; asymptotic stability; autonomous surface vessel; control inputs; diagonal mass matrices; forcing functions; fourth-order system; full-state sliding mode trajectory tracking control; general planar underactuated autonomous vessel models; modeling disturbance robustness; modeling uncertainty robustness; nondiagonal mass matrices; position states; reduced order system stabilization; sixth-order system; transitional trajectory vector function; velocity states; vessel nonholonomic constraint; Convergence; Damping; Hydrodynamics; Mathematical model; Trajectory; Transmission line matrix methods; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7172144
Filename :
7172144
Link To Document :
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