摘要
针对船舶航向控制系统中固有的非线性和模型不确定性,提出一种基于变伸缩因子的模糊自适应控制方法.该控制方法基于Norbbin非线性船舶运动模型,采用Lyapunov稳定性理论确保闭环系统的稳定性,结合投影算法设计参数自适应律,能够以精简的模糊规则实现较高的控制性能.仿真结果验证了该控制方法的有效性和优越性.
A fuzzy adaptive control method was proposed based on variable contraction-expansion factors for the inherent nonlinearity and uncertainties problems of ship steering control system. The proposed scheme was based on Norbbin nonlinear ship motion model,and Lyapunov stability theorem was adopted to guarantee the stability of the closed-loop control system.Moreover,the parameters of fuzzy logic system were derived by using projection algorithm,so that a favorable control performance could be achieved with simple fuzzy rules. Simulation results verify the effectiveness and superiority of the proposed scheme.
出处
《大连海事大学学报》
CAS
CSCD
北大核心
2016年第1期7-12,共6页
Journal of Dalian Maritime University
基金
国家自然科学基金资助项目(51009017
51379002)
交通部应用基础研究基金资助项目(2012-329-225-060)
中国博士后科学基金资助项目(2012M520629)
辽宁省高等学校优秀人才支持计划(LJQ2013055)
中央高校基本科研业务费基金项目(2009QN025
2011JC002
3132013025)
关键词
船舶
航向控制
变伸缩因子
模糊自适应控制
ship
steering control
variable contraction-expansion factors
fuzzy adaptive control