[1]潘润超,李志刚.基于改进自适应趋近律的弹丸协调臂滑模控制[J].机械与电子,2021,(04):43-48.
 PAN RunChao,LI ZhiGang.Sliding Mode Control of Projectile Coordination Arm Based on Improved Adaptive Approach Law[J].Machinery & Electronics,2021,(04):43-48.
点击复制

基于改进自适应趋近律的弹丸协调臂滑模控制()
分享到:

机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年04期
页码:
43-48
栏目:
机电一体化技术
出版日期:
2021-04-24

文章信息/Info

Title:

Sliding Mode Control of Projectile Coordination Arm Based on Improved Adaptive Approach Law

文章编号:
1001-2257(2021)04-0043-06
作者:
潘润超李志刚
南京理工大学机械工程学院,江苏 南京 210094
Author(s):

PAN RunChao LI ZhiGang

 School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
关键词:
弹丸协调臂改进趋近律电液伺服系统自适应滑模控制
Keywords:
projectile coordination armImproving the law of approachelectro-hydraulic servo systemadaptivesliding mode control
分类号:
TP273.2
文献标志码:
A
摘要:
针对某火炮弹丸协调臂电液伺服系统在传统滑模控制趋近律下存在抖振现象,收敛速度慢等问题,提出一种基于改进自适应趋近律的弹丸协调臂滑模控制。当系统状态变量距离切换面较远的时候,幂次项起主要作用;当系统状态变量距离切换面较近时,自适应变速项起主要作用,随着状态变量变化自适应调节变速项系数,直到状态变量收敛到稳定点。当系统存在参数不确定性和外界扰动时,滑模状态变量可在有限时间收敛到边界层宽度为2.6的稳定误差界内。仿真结果表明,控制策略能有效提高系统的动态精度和到位精度,提高系统的鲁棒性。
Abstract:
Aiming at the problems of chattering and slow convergence in the electro-hydraulic servo system of projectile coordination arm under the traditional sliding mode control approach law, a sliding mode control of projectile coordination arm based on the improved adaptive approach law was proposed. When the system state variable is far from the switching surface, the power term plays a major role. When the system state variable is close to the switching surface, the adaptive variable term plays a major role. The coefficient of the variable term is adjusted adaptively with the change of the state variable until the state variable converges to a stable point. When the system has parameter uncertainty and external disturbance, the sliding mode state variable can converge to the stable error boundary with boundary layer width of 2.6 in finite time. The simulation results show that the control strategy can effectively improve the dynamic accuracy and in-place accuracy of the system and improve the robustness of the system.

参考文献/References:

[1].马天兵,罗智,杜菲.基于改进幂次趋近律的壁板振动主动滑模控制[J].科学技术与工程,2018,18(9):250-253.
[2].李永恒,刘陵顺,胡云安,等.基于自适应趋近律的滑模控制方法[J].华中科技大学学报(自然科学版),2019,47(1):109-113.
[3].廖瑛,杨雅君,王勇.滑模控制的新型双幂次组合函数趋近律[J].国防科技大学学报,2017,39(3):105-110.
[4].田野,蔡远利.一种新型变指数幂次趋近律的设计与分析[J].中国惯性技术学报,2019,27(2):241-247.
[5].李慧洁,蔡远利.基于双幂次趋近律的滑模控制方法[J].控制与决策,2016,31(3):498-502.
[6].HUANG J, ZHANG Z R,HAN J B, et al. Sliding mode control of permanent magnet generator system based on improved exponential rate reaching law[J].IET Electric power applications, 2020, 14(7):1154-1162.
[7].吕海龙.一种基于单向辅助面滑模控制的无人机姿态控制器设计与仿真[J].四川兵工学报,2015,36(11):112-117.
[8].王杰,强宝民,何祯鑫,等.基于改进非线性趋近律的桥式起重机滑模控制[J].兵器装备工程学报,2019,40(7):148-152,175.
[9].BRAHIM B,MOHAMED H L,ABDELKRIM B,et al. Improvement of sliding mode controller by using a new adaptive reaching law: Theory and experiment[J]. ISA Transactions,2020,97:261-268.
[10].邹权.某大口径火炮弹药自动装填控制系统关键问题研究[D].南京:南京理工大学,2015.

相似文献/References:

[1]骆继发1,李志刚1,岳才成2.弹丸协调臂的 RBF神经网络自适应滑模控制[J].机械与电子,2019,(11):58.
 ,Adaptive Sliding Mode Control Based on RBF Neural Network for Projectile Transfer Arm[J].Machinery & Electronics,2019,(04):58.
[2]潘润超,李志刚,管佳伟.基于干扰观测器的弹丸协调臂Terminal滑模控制[J].机械与电子,2021,(01):62.
 PAN Runchao,LI Zhigang,GUAN Jiawei.The Projectile Coordinating Arm Terminal Sliding Control Based on Interference Observer[J].Machinery & Electronics,2021,(04):62.

备注/Memo

备注/Memo:

收稿日期:2020-08-08

作者简介:潘润超(1995-),男,四川内江人,硕士研究生,主要研究方向为电液伺服控制;李志刚(1962-),男,北京人,副教授、硕士研究生生导师,主要研究方向为兵器发射理论与技术。
更新日期/Last Update: 2021-04-15