DocumentCode :
3585963
Title :
Controller design problem of discrete uncertain ship autopilot servo stochastic system
Author :
Cheung-Chieh Ku ; Guan-Wei Chen
Author_Institution :
Dept. of Marine Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
Purpose of this paper is to propose a method of gain-scheduled controller design for uncertain ship autopilot servo stochastic system. The Linear Parameter Varying (LPV) system, which is evolved from uncertainty linear system, is presented on characterizing uncertain time variations of parameters for the considered system. Moreover, the stochastic differential equation is employed to describe the stochastic behaviors of the system. Through the LPV system and the stochastic differential equation, the uncertain ship autopilot servo stochastic system can be completely described. For the system, the gain-scheduled design technique is applied in discussing the stabilization problems. Based on the Lyapunov function, the sufficient conditions are derived to analyze the stability of the system in the mean square. Then, the gain-scheduled controller design method can be proposed based on the derived conditions. Finally, the simulation results of uncertain ship autopilot servo stochastic system with designed controller are provided for demonstrating the effectiveness and usefulness of the proposed design method.
Keywords :
Lyapunov methods; asymptotic stability; closed loop systems; control system synthesis; differential equations; discrete systems; linear parameter varying systems; servomechanisms; ships; stochastic systems; uncertain systems; LPV system; Lyapunov function; asymptotic stability; closed-loop system; discrete uncertain ship autopilot servo stochastic system; gain-scheduled controller design; linear parameter varying system; parameter uncertain time variation characterization; stabilization problem; stochastic differential equation; sufficient conditions; system stability analysis; system stochastic behaviors; uncertainty linear system; Closed loop systems; Differential equations; Marine vehicles; Mathematical model; Servomotors; Stochastic processes; Stochastic systems; Gain-Scheduled Control Scheme; LPV Systems; Multiplicative Noises; Robust; Stochastic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Process and Control (ICSPC), 2014 IEEE Conference on
Print_ISBN :
978-1-4799-6105-4
Type :
conf
DOI :
10.1109/SPC.2014.7086220
Filename :
7086220
Link To Document :
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