RBF-ARX模型在船舶航向保持系统建模中的应用
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摘要
以海洋船舶为被控对象,针对系统的非线性特性,为克服船舶物理模型精确物理参数不易获得等问题,故用统计建模的方法,采用RBF-ARX模型对船舶的航向保持非线性控制过程进行建模。并比较了船舶RBF-ARX模型、ARX模型和物理模型的长期预测输出,验证了RBF-ARX模型在对船舶航向保持控制系统建模中的有效性和优越性。
Based on the nonlinear characteristic of the ship, it is difficult to obtain accurate physical parameters of the ship physical model. Therefore, the statistical modeling method and RBF-ARX model is used to model the ship course-keeping control process. In this paper, the RBF-ARX model, the ARX model and the long-term predictive output of the physical model are compared, and the effectiveness and superiority of the RBF-ARX model in the ship course-keeping control system modeling are verified.
Based on the nonlinear characteristic of the ship, it is difficult to obtain accurate physical parameters of the ship physical model. Therefore, the statistical modeling method and RBF-ARX model is used to model the ship course-keeping control process. In this paper, the RBF-ARX model, the ARX model and the long-term predictive output of the physical model are compared, and the effectiveness and superiority of the RBF-ARX model in the ship course-keeping control system modeling are verified.
引文
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[2]张显库,贾欣乐.船舶运动控制[M].北京:国防工业出版社,2006:4-5.Zhang X K,Jia X L.Ship Course Control[M].Nationa Defense Industry Press,2006:4-5.
[3]吴军.基于RBF-ARX模型的复杂系统建模、优化与控制研究[D].中南大学,2013.Wu J.Research on Modeling,Optimization and Control of Complex Systems Based on RBF-ARX Model[D].Central South University,2013.
[4]Peng Hui,Ozaki T,Haggan-Ozaki V,et al.A Parameter Optimization Method for Radial Basis Function Type Models[J].IEEE Transactions on Neural Networks,2008,142.
[5]Golub G H,Van Loan C F.Matrix Computations,3rd ed[M].Baltimore,MD:Johns Hopkins Univ.Press.1996.
[6]Akaike H.A New Look at the Statistical Model Identification[J].IEEE Transactions on Automatic Control,1974,19(6):716-723.