兵工自动化2017，Vol.36Issue(4)：58-62,68,6.DOI:10.7690/bgzdh.2017.04.017
基于GA-RBF算法的FUZZY-RBF交流伺服系统控制
FUZZY-RBF Neural Network AC Servo Control System
Based on GA-RBF Algorithm
梁勇飞 1侯远龙 1朱忠贺 1刘兰强1
作者信息
- 1. 南京理工大学机械工程学院,南京 210094
- 折叠
摘要
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.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Key words
rocket barrier-breaking weapon/AC servo system/FUZZY-RBF neural network control/GA-RBF algorithm分类
信息技术与安全科学引用本文复制引用
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):58-62,68,6.
