A new design method of intelligent controller for ship course

被引：0

作者：

Ruan, Jiuhong ^{[1
]}

Rui, Song ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Jinan 250023, Peoples R China

来源：

ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年

关键词：

ship course control; non-linearity; intelligent control; reference course planning; noise-adding; robustness;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Because of the strong non-linearity and uncertainty of ships, and as well the dynamics restraints of autopilots, designing a high performance course controller is yet a challenge work. Aiming at these problems, a new kind of high performance course controller design method was proposed. This method, which is based on fuzzy-neural network, genetic algorithm, reference trajectory setting algorithm and noise-adding algorithm, can markedly improve the controller completeness and robustness. And the simulations of the ship course track control were done in typical ocean environment, and the results showed that the controller designed has good robust stability, fast transition process, and high dynamic and steady control precision. And the effective of the design method proposed was proved enough.

引用

页码：2450 / 2453

页数：4