| 基于GA-RBF算法的FUZZY-RBF交流伺服系统控制 |
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| 引用本文： | 梁勇飞,侯远龙,朱忠贺,刘兰强.基于GA-RBF算法的FUZZY-RBF交流伺服系统控制[J].兵工自动化,2017,36(4):58-62. |
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| 作者姓名： | 梁勇飞 侯远龙 朱忠贺 刘兰强 |
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| 作者单位： | 南京理工大学机械工程学院,南京,210094;南京理工大学机械工程学院,南京,210094;南京理工大学机械工程学院,南京,210094;南京理工大学机械工程学院,南京,210094 |
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| 摘 要： | 针对某火箭破障武器交流伺服系统的不确定性和非线性等问题,设计基于GA-RBF算法的FUZZY-RBF神经网路控制方法.将GA算法和RBF神经网络结合起来作为系统辨识器用来优化FUZZY-RBF控制器的权值、节点和中心矢量等参数,并通过半实物仿真实验进行验证.半实物仿真结果表明:该控制策略能满足某火箭破障武器精度控制指标,保证其交流伺服系统控制的精度和稳定性,具有很强的自适应性和鲁棒性.
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| 关 键 词： | 某火箭破障武器 交流伺服系统 FUZZY-RBF神经网络控制 GA-RBF算法 |
| 收稿时间： | 2017/4/18 0:00:00 |
FUZZY-RBF Neural Network AC
Servo Control System
Based on GA-RBF Algorithm |
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| Liang Yongfei.FUZZY-RBF Neural Network AC
Servo Control System
Based on GA-RBF Algorithm[J].Ordnance Industry Automation,2017,36(4):58-62. |
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| Authors: | Liang Yongfei |
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| Affiliation: | School of Mechanical Engineering
,
Nanjing University of Science & Technology
,
Nanjing
210094,
China |
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| Abstract: | Aiming at the uncertainty and non-linearity of rocket barrier-breaking weapon AC servo system, design FUZZY-RBF neural network control method based on GA-RBF algorithm. Combine GA algorithm with RBF neutral network to realize system identifier for optimizing FUZZY-RBF controller parameters such as weight value, node and center vector. Then verify it by semi-physical simulation test. The semi-physical simulation results show that the control strategy can satisfy the rocket barrier-breaking precision control index and ensure the AC servo system control accuracy and stability. It has strong adaptability and robustness. |
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| Keywords: | rocket barrier-breaking weapon AC servo system FUZZY-RBF neural network control GA-RBF algorithm |
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