| 模糊CMAC神经网络在潜艇深度及纵倾控制中的应用 |
| |
| 引用本文： | 施小成,徐箭雨,陈强,边信黔.模糊CMAC神经网络在潜艇深度及纵倾控制中的应用[J].哈尔滨工程大学学报,2004,25(1):13-18. |
| |
| 作者姓名： | 施小成 徐箭雨 陈强 边信黔 |
| |
| 作者单位： | 哈尔滨工程大学,动力与核能工程学院,黑龙江,哈尔滨,150001;海军装备研究院,北京,100073 |
| |
| 摘 要： | 潜艇近水面运动情况下的深度及纵倾控制问题是一种非线性控制问题,潜艇自身质量及航速的变化、以及外界不规则海浪使得控制系统难于设计.一种称为模糊CMAC的特殊神经网络被用于补偿潜艇动态模型的非线性部分,基于李雅普诺夫原理而推导出的在线学习算法用于更新FCMAC的权值.仿真结果表明,此控制策略能较好地解决控制系统中模型非线性部分的影响,在较大的工况变化范围内保持良好的控制性能.
|
| 关 键 词： | FCMAC神经网络 模糊推理系统 潜艇运动控制 非线性控制 鲁棒控制 |
| 文章编号： | 1006-7043(2004)01-0013-06 |
| 修稿时间： | 2003年11月4日 |
Application of fuzzy CMAC neural network for keeping depth and pitch of submarine |
| |
| SHI Xiao-cheng,XU Jian-yu,CHEN qiang,BIAN Xin-qian.Application of fuzzy CMAC neural network for keeping depth and pitch of submarine[J].Journal of Harbin Engineering University,2004,25(1):13-18. |
| |
| Authors: | SHI Xiao-cheng XU Jian-yu CHEN qiang BIAN Xin-qian |
| |
| Affiliation: | SHI Xiao-cheng~1,XU Jian-yu~1,CHEN qiang~2,BIAN Xin-qian~1 |
| |
| Abstract: | Submarine depth and rolling control near the water surface is a kind of nonlinearity control problem. The change of submarine mass, speed and ocean wave make it difficult to design of control system.One technique called Fuzzy CMAC Neural Networks can be used to compensate the nonlinearity part of submarine dynamic model , and to deduce a kind of arithmetic online to update the FCMAC power value based on Lyapunov Low. The simulation showed that the fuzzy CMAC Neural Networks can solve the nonlinearity effect of control system model and hold the control performance very well in a great range of operating conditions. |
| |
| Keywords: | fuzzy CMAC neural networks fuzzy rationalization system submarine motion system nonlinearity control robust control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
