Generalized Predictive Control for π-type rudder antipitching based on nonlinear adaptive ntelligent model
This article proposed a method to build an adaptive intelligent model of ship longitudinal motion aiming at maritime moving in all-weather conditions and ship non-linear longitudinal hydrodynamic coefficients.By taking 442T surface ship as the research object,it calculated typical sea state hydrodynamic coefficients according to water tank experiment results and strip theory,optimized Radial Basis Function Neural Network(RBF)by optimal stopping rule,build an adaptive three-dimensional nonlinear intelligence model based on real time change of speed,sea situations and course angle,and obtained ship longitudinal motion real-time online control model in all-weather conditions, by taking white noise as system disturbance,deduced ship π-type rudder anti-pitching Generalized Predictive Control(GPC)law.Simulation results show that t he control effect of anti-pitching 1 can increased by 34％ and GPC control have strong robustness by using adaptive intelligent model combined with GPC.
π-type rudder anti-pitching Hydrodynamic coefficients Nonlinear adaptive intelligent model Generalized Predictive Control
Hongli-Chen Wenyan-Liu Xiaodong-Gai
Automation Institute Harbin Engineering University Harbin 150001, China School of Astronautics Harbin Institute of Technology Harbin 150001, China Department of Electrical Engineering Harbin Institute of Technology Harbin 150001, China
国际会议
长沙
英文
790-793
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）