兵工自动化2025，Vol.44Issue(3)：4-8,5.DOI:10.7690/bgzdh.2025.03.002
车载武器伺服系统的模糊滑模控制
Fuzzy Sliding Mode Control for Vehicular Weapon Servo System
李有为 1侯远龙 1季强 1刘璐 2闫智聪1
作者信息
- 1. 南京理工大学机械工程学院,南京 210094
- 2. 南京理工大学网络空间安全学院,南京 210094
- 折叠
摘要
Abstract
A sliding mode control strategy based on RBF neural network and fuzzy switching gain regulation is proposed to solve the stability problem of vehicle-mounted weapon firing while moving.The mathematical model of the vehicle-mounted weapon servo system is established,and the sliding mode controller based on the new reaching law is designed to make the system converge to the equilibrium state quickly.The fuzzy control is integrated on the basis of the sliding mode control,and the fuzzy rules are used to adjust the switching gain of the controller in real time.The switching gain is used to eliminate the disturbance of the system and weaken the system chattering;RBF neural network is used to adaptively estimate the time-varying items of the system to improve the control precision.The simulation results show that the designed controller is insensitive to the disturbance,and can effectively improve the position accuracy of the system,weaken the chattering,and make the system have strong robustness.关键词
伺服系统/滑模控制/模糊控制/RBF神经网络/抖振抑制Key words
servo system/sliding mode control/fuzzy control/RBF neural network/chattering suppression分类
武器工业引用本文复制引用
李有为,侯远龙,季强,刘璐,闫智聪..车载武器伺服系统的模糊滑模控制[J].兵工自动化,2025,44(3):4-8,5.
