期刊文献+

自适应免疫遗传算法在船舶航向控制器中的应用

Application of adaptive immune genetic algorithm in ship course controller
下载PDF
导出
摘要 传统的船舶航海控制器由于性能一般,当遇到复杂的海洋环境时,往往不能胜任船舶的操控要求,而且其安全性也较差,因此在船舶航向控制器设计时,需要综合考虑操作的稳定性和安全性。本文采用自适应免疫遗传算法对航向控制器的工作参数进行优化,增强该控制器的鲁棒性和抗干扰能力,能够适应复杂的海洋环境。通过遗传算法进行PID控制器设计,校正控制器的各项参数。在干扰信号的输入下,航向控制器能够始终维持稳定的航向角,说明此控制器的抗干扰能力良好。 Because of the general performance of the traditional marine navigation controller, when the complex marine environment is encountered, it is often not qualified for the ship's control, and its safety is also poor. Therefore, when the ship course controller is designed, it needs to consider the operation stability and safety. In this paper, the adaptive immune genetic algorithm is used to optimize the working parameters of the heading controller, which enhances the controller's robustness and anti-jamming ability and can adapt to the complicated marine environment. The PID controller design by genetic algorithm corrects the parameters of the controller. In the input of the interference signal, the heading controller can always maintain a stable heading angle, indicating that the controller has good anti-interference ability.
作者 刘辉
出处 《舰船科学技术》 北大核心 2017年第5X期79-81,共3页 Ship Science and Technology
关键词 免疫遗传算法 控制器 PID immune genetic algorithm controller PID
  • 相关文献

参考文献2

二级参考文献15

  • 1左兴权,李士勇.采用免疫进化算法优化设计径向基函数模糊神经网络控制器[J].控制理论与应用,2004,21(4):521-525. 被引量:10
  • 2李晓斌,刘丁,郭军献,张晓晖.真空退火炉的建模与优化[J].控制与决策,2005,20(2):218-221. 被引量:9
  • 3Jang S C.Shape optimization of electromagnetic devices using immune algorithm[J].IEEE Transactions on Magnetics,1997,33(2):1876-1879.
  • 4Chian C D,King T.Optimal design for power system dynamic stabilizer by grey prediction PID control[A].2002 IEEE International Conference on Industrial Technology[C].Bangkok,Thailand:IEEE ICIT'02,2002.279-284.
  • 5Mehrdad S,Grey C.An adaptive PID controller based on genetic algorithm processor[A].IEE Genetic Algorithm in Engineering System[C].Sheffield,England:IEEGAES'95,1995.88-93.
  • 6Berek U C,Ziegner M.The maturation of the immune response[J].Imm.Today,1993,14(8):400-402.
  • 7Leung Y,Gao Y,Xu Z B.Degree of population diversity-a perspective on premature convergence in genetic algorithms and its markov chain analysis[J].IEEE Trans.On Neural Networks,1997,8(5):1165-1176.
  • 8赵振宇.模糊控制和神经网络的基础与应用[M].北京:清华大学出版社,1996.
  • 9陈雪丽,程启明.船舶自动舵控制技术的发展[J].南京化工大学学报,2001,23(4):101-105. 被引量:5
  • 10娄小鹏,丁琳.模型参考模糊自适应控制在船舶航向控制中的应用[J].世界海运,2002,25(3):1-3. 被引量:1

共引文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部