Dynamic simulation of tank stabilizer based on adaptive control

被引:32
|
作者
Chen, Yu [1 ]
Yang, Guolai [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Tank; adaptive control; stabilizer; parameter uncertainty; co-simulation;
D O I
10.1177/0954406218802315
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Tank stabilizer is a control system keeping the bore axis in the desired sighting angle. For the control problem of the stabilizer in the case of uncertain parameters, the adaptive control method is introduced to design the vertical tank stabilizer with the nonlinear dynamic model of vertical stabilizer given in the paper. In the design, the multiple parameter uncertainties of the hydraulic servo system are fully considered and the linear feedback control is used to improve the asymptotic stability of the system. The vertical stabilizer of tank is simulated in MATLAB/Simulink environment. In addition, a dynamic model of tank on the move is established based on multi-body system theory, vehicle terramechanics and gun launch dynamics. Then the established dynamic model is combined with the designed controller based on the RecurDyn/Control module. The numerical calculation results show that the adaptive control method can effectively control the muzzle vibration of tank on the move and it can satisfy the requirement of actual vertical stabilization accuracy. But some nonlinear factors of the gun such as the flexibility of the barrel will seriously influence the desired stabilization accuracy of the vertical tank stabilizer. A comparison experiment between adaptive control and proportional-integral-derivative control is also presented to show the effectiveness of the adaptive control method. The research provides a feasible way to improve the firing accuracy of tank firing on the move.
引用
收藏
页码:3038 / 3049
页数:12
相关论文
共 50 条
  • [21] The simulation on double tank water level control based MATLAB
    Zhang, Haiyan
    Zhang, Lixiang
    ADVANCED MATERIALS AND PROCESS TECHNOLOGY, PTS 1-3, 2012, 217-219 : 1435 - 1439
  • [22] Adaptive Sliding Mode Control for Fin Stabilizer System Based on Cloud Model
    Li, Hui
    Xing, Zhendeng
    Xue, Dongshuang
    Guo, Chen
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 6178 - 6183
  • [23] SNPID Adaptive Control Based on WNN Nonlinear Identification for Ship Fin Stabilizer
    Li, Hui
    Guo, Chen
    Li, Xiaofang
    7TH INTERNATIONAL CONFERENCE ON SYSTEM SIMULATION AND SCIENTIFIC COMPUTING ASIA SIMULATION CONFERENCE 2008, VOLS 1-3, 2008, : 1201 - +
  • [24] Adaptive control of a laboratory tank system
    Danko, J
    Ondrovicová, M
    CHEMICAL PAPERS, 2000, 54 (03) : 155 - 158
  • [25] Comparison of an adaptive stabilizer and a fuzzy logic stabilizer for superconducting generator governor control
    Saleh, RAF
    Bolton, HR
    ELECTRIC POWER SYSTEMS RESEARCH, 2001, 57 (02) : 65 - 71
  • [26] Adaptive robust control for fully electric pitch system of tank with dynamic friction compensation
    Darui Lin
    Xiuye Wang
    Guolai Yang
    Shusen Yuan
    Qinqin Sun
    Journal of Mechanical Science and Technology, 2022, 36 : 4967 - 4978
  • [27] Adaptive robust control for fully electric pitch system of tank with dynamic friction compensation
    Lin, Darui
    Wang, Xiuye
    Yang, Guolai
    Yuan, Shusen
    Sun, Qinqin
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2022, 36 (10) : 4967 - 4978
  • [28] REVIEW OF SIMULATION-BASED OPTIMIZATION APPROACHES FOR THE ADAPTIVE SCHEDULING AND CONTROL OF DYNAMIC PRODUCTION SYSTEMS
    Pimentel, R.
    Frazzon, E. M.
    Santos, P. P.
    24TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH (ICPR), 2017, : 657 - 662
  • [29] Research on Dynamic Hydrodynamic simulation of fin stabilizer with LBM
    Liang, Lihua
    Li, Jianfeng
    Le, Zhiwen
    OCEANS 2018 MTS/IEEE CHARLESTON, 2018,
  • [30] Adaptive and Dynamic Cloth Simulation Based on Quadtree Subdivision
    Gao, Jun
    Li, Zhong
    Peng, Cheng-Song
    2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SCIENCE AND APPLICATION (FCSA 2011), VOL 2, 2011, : 41 - 44