DocumentCode
3046313
Title
Adaptive stochastic sliding mode ship autopilot for way-point tracking
Author
Asadi, Meysam ; Narm, H. Gholizade
Author_Institution
Sch. of Electr. & Comput. Eng., Shahrood Univ. of Technol., Shahrood, Iran
fYear
2013
fDate
14-16 May 2013
Firstpage
1
Lastpage
6
Abstract
In This paper, way-point tracking control of a container ship based on LOS method using adaptive stochastic sliding mode control is investigated. Effective Control of ships in a designed trajectory is always an important task for ship maneuvering. The design is based on a low and high frequency model of the vessel motion adequate to ship steering. The low frequency model describes the vessel response to rudder control and slowly varying environmental forces. The high frequency model represents the wave induced oscillatory part of the yaw motion. For suppression of high frequency wave disturbances, the nonlinear recursive filter is considered. The uncertainty of model parameters in the presence of disturbances such as waves, wind and currents, dictate the application of techniques that take into account the nonlinear equations of ship´s motion and the presence of unknown parameters. In this sense, the adaptive stochastic sliding mode design is used for solving this problem. The simulation results show the suitability of this technique to compensate the time-varying disturbances effects in way-point tracking control.
Keywords
adaptive control; control system synthesis; nonlinear equations; nonlinear filters; ships; stochastic systems; uncertain systems; variable structure systems; LOS method; adaptive stochastic sliding mode design; adaptive stochastic sliding mode ship autopilot; container ship; environmental forces; high frequency wave disturbance suppression; model parameter uncertainty; nonlinear equations; nonlinear recursive filter; rudder control; ship maneuvering; ship steering; time-varying disturbances; vessel motion high frequency model; vessel motion low frequency model; way-point tracking control; yaw motion; Adaptation models; Equations; Frequency measurement; Marine vehicles; Mathematical model; Spirals; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location
Mashhad
Type
conf
DOI
10.1109/IranianCEE.2013.6599614
Filename
6599614
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