| 潜艇垂直面运动自适应神经网络模糊控制仿真 |
| |
| 引用本文： | 赵阳,邢继峰.潜艇垂直面运动自适应神经网络模糊控制仿真[J].计算机仿真,2009,26(6):26-29. |
| |
| 作者姓名： | 赵阳 邢继峰 |
| |
| 作者单位： | 海军工程大学船舶与动力学院,湖北,武汉,430033 |
| |
| 摘 要： | 神经网络控制和模糊控制技术的广泛应用为潜艇自动舵控制器的设计提供了新的思路.而模糊规则的提取和隶属函数的学习是模糊推理系统设计中重要而困难的问题,自适应神经网络模糊推理系统(ANFIS)结合模糊控制和神经网络控制的优点,基于sugeno模糊模型采用反向传播法和最小二乘法调整模糊推理系统的参数,并自动产生模糊规则.利用方法对潜艇乖直面运动自动舵控制器进行了设计和仿真.从仿真结果来看,自适应神经网络模糊控制器能较好的实现对潜艇垂直面运动的操纵控制,是一种很好的控制方法.
|
| 关 键 词： | 潜艇 操纵 深度 自适应神经网络模糊系统 仿真 |
Simulation of ANFIS Control for the Motion of Submarine in Vertical Plane |
| |
| ZHAO Yang,XING Ji-feng.Simulation of ANFIS Control for the Motion of Submarine in Vertical Plane[J].Computer Simulation,2009,26(6):26-29. |
| |
| Authors: | ZHAO Yang XING Ji-feng |
| |
| Affiliation: | Architecture and Power College;Naval University of Engineering;Wuhan Hubei 430033;China |
| |
| Abstract: | The wide use of neural networks and fuzzy control provides a new way to design the control method for auto-pilot of submarine.Extraction of fuzzy rules and learning of parameters of membership functions play an essential role in the design of a fuzzy inference system but they are difficult.The Adaptive Network-based Fuzzy Inference System(ANFIS) has the advantages of both neural networks and fuzzy control.The ANFIS method is based on Sugeno fuzzy model and has a structure similar to neural network by adjust... |
| |
| Keywords: | Submarine Maneuvering Depth ANFIS Simulation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
