某舰载火箭炮交流伺服系统并行复合控制方法  

Parallel Composite Control Method for AC Servo System of Certain Type Shipborne Rocket Launcher

作　　者：朱开阳 童仲志[1] 花纯磊 Zhu Kaiyang;Tong Zhongzhi;Hua Chunlei(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学机械工程学院,南京210094

出　　处：《兵工自动化》2023年第4期13-16,25,共5页Ordnance Industry Automation

摘　　要：针对舰载火箭炮在发射过程中会受到风浪以及自身扰动的影响而导致射击精度和稳定性降低的问题,提出一种RBF神经网络滑模-模糊PID控制方法。利用RBF神经网络来削弱滑模的抖振,在误差较小时提高响应速度和鲁棒性;利用模糊规则对PID参数进行调整,在误差较大时提高控制精度。仿真结果表明:该复合控制策略可使舰载火箭炮交流伺服系统具有更高的射击精度和反应速度,提高系统性能。Aiming at the problem that the firing accuracy and stability of shipborne rocket launcher will be reduced due to the influence of wind and waves and its own disturbance in the launching process,a RBF neural network sliding mode-fuzzy PID control method is proposed.The RBF neural network is used to weaken the chattering of sliding mode and improve the response speed and robustness when the error is small.The fuzzy rules are used to adjust the PID parameters to improve the control accuracy when the error is large.The simulation results show that the hybrid control strategy can make the AC servo system of shipborne rocket launcher have higher firing accuracy and reaction speed,and improve the system performance.

关 键 词：舰载火箭炮 交流伺服系统 RBF神经网络 滑模变结构控制 

分 类 号：TJ393[兵器科学与技术—火炮、自动武器与弹药工程]