基于NNCA的某破障武器模糊自适应动态面控制  

Fuzzy Dynamic Surface Control of a Broken Weapon Based on Nearest Neighbor Clustering Algorithm

作　　者：沙烨镇 余世航 陈机林[1] SHA Yezhen;YU Shihang;CHEN Jilin(School of Mechanical Engineer,Nanjing University of Science and Technology,Nanjing 210094,China;Hubei Jiangshan Heavy Industry Co.,Ltd.,Wuhan 430000,China)

机构地区：[1]南京理工大学机械工程学院,南京210094 [2]湖北江山重工有限责任公司,武汉430000

出　　处：《弹箭与制导学报》2021年第4期24-30,共7页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：为解决某破障武器发射架的液压随动系统因系统内部泄露、摩擦及外部负载变化等因素造成的非线性问题,采用模糊逻辑系统来逼近电液伺服系统中的未知非线性函数,利用最近邻聚类算法(NNCA)对初始参数进行归类,以降低模糊规则的数目。结合动态面控制方法设计自适应控制器以解决模糊控制带来的控制精度差的问题。仿真结果表明,该方法可以有效提高系统的抗干扰能力、破障精度并提高调炮的快速性。In order to solve the nonlinear problem caused by internal leakage,friction and external load change of the hydraulic servo system of a barrier breaking weapon launcher,the fuzzy logic system is used to approximate unknown nonlinear function in the electro-hydraulic servo system,using the nearest neighbor clustering algorithms(NNCA)to classify the initial parameters to reduce the number of fuzzy rules.At the same time,an adaptive controller based on dynamic surface control method is designed to solve the problem of poor control accuracy caused by fuzzy control.Simulation results show that this method can effectively improve the anti-interference ability of the system,the precision of breaking the barrier and the speed of adjusting gun.

关 键 词：破障武器 动态面控制 模糊控制 最近邻聚类 

分 类 号：TJ03[兵器科学与技术—兵器发射理论与技术] TP273[自动化与计算机技术—检测技术与自动化装置]