| 模糊神经网络PID控制在焊缝跟踪中的应用 |
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| 引用本文： | 肖敏,张华,贾剑平.模糊神经网络PID控制在焊缝跟踪中的应用[J].微计算机信息,2006,22(25):68-73. |
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| 作者姓名： | 肖敏 张华 贾剑平 |
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| 作者单位： | 1. 330029,江西省机器人与焊接自动化重点实验室;330029 江西 南昌 南昌大学信息工程学院
2. 330029,江西省机器人与焊接自动化重点实验室 |
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| 基金项目： | 国家自然科学基金;江西省自然科学基金 |
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| 摘 要： | 1 Introduction Real- time seam tracking is the key step for welding automation. Because welding itself is a complex process, the factors that affect the welding have uncertainty and non - linear characters. Therefore, classical control in seam tracking cannot carry a satisfying result. In latter- day, Fuzzy mathematic and Neural Network appearance, being used on uncertain nonlinear system, and have a good effect. The hybrid controller, which combines Fuzzy con- trol and PID control, uses F…
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| 关 键 词： | 自适应PID 模糊神经网络 焊缝跟踪 |
| 文章编号： | 1008-0570(2006)09-1-0068-03 |
| 修稿时间： | 2006年1月9日 |
Fuzzy Neural Network PID Controller for seam tracking |
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| Xiao Min,Zhang Hua,Jia Jianping.Fuzzy Neural Network PID Controller for seam tracking[J].Control & Automation,2006,22(25):68-73. |
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| Authors: | Xiao Min Zhang Hua Jia Jianping |
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| Abstract: | A Fuzzy Neural Network PID Controller is proposed in this paper, Fuzzy Neural Network Controller is used to optimize the parameters of PID Controller real time. Computer simulation using MATLAB shows that, comparing to the classical PID Controller, Fuzzy Neural Network PID Controller can improve the precision of control results for seam tracking. |
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| Keywords: | self-adaptation PID Fuzzy Neural network |
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