Adaptive Sliding Mode Control Based on Disturbance Observer for Placement Pressure Control System

被引:7
作者
Hong, Qi [1 ]
Shi, Yaoyao [1 ]
Chen, Zhen [1 ]
机构
[1] Northwestern Polytech Univ, Sch Mech Engn, Xian 710072, Peoples R China
来源
SYMMETRY-BASEL | 2020年 / 12卷 / 06期
基金
中国国家自然科学基金;
关键词
composites placement; dynamics modeling; ASMC-DOB; pressure control; void content; PERFORMANCE; VOIDS; COMPOSITES; DESIGN; MOTOR;
D O I
10.3390/sym12061057
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In the process of composite placement, irregularity and asymmetry pressure fluctuation will affect the density and evenness of composite products, which lead to the inconsistency of interfacial strength and fiber volume fraction. The dynamic performance of placement pressure systems will be affected by external disturbance, mechanism friction and measurement noise. In this paper, an adaptive sliding mode control (ASMC) strategy based on disturbance observer (DOB) is proposed. The disturbance observer is introduced to estimate the equivalent disturbance torque, and the estimation error is compensated by the switching term of sliding mode control. The adaptive method is used to ensure that the switching gain is not overestimated, and then the Lyapunov function is used to verify the stability of the closed-loop control system. The experimental results and simulation analysis show that ASMC-DOB has high control accuracy and good robustness. At the same time, the designed algorithm can effectively reduce the void content of composite products.
引用
收藏
页数:16
相关论文
共 40 条
  • [1] Chattering in sliding mode control systems with boundary layer approximation of discontinuous control
    Boiko, Igor M.
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2013, 44 (06) : 1126 - 1133
  • [2] A review of out-of-autoclave prepregs - Material properties, process phenomena, and manufacturing considerations
    Centea, T.
    Grunenfelder, L. K.
    Nutt, S. R.
    [J]. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2015, 70 : 132 - 154
  • [3] Neural network-based direct adaptive robust control of unknown MIMO nonlinear systems using state observer
    Cheng, Cheng
    Liu, Songyong
    Wu, Hongzhuang
    Zhang, Ying
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2020, 34 (01) : 1 - 14
  • [4] Experimental study of the effect of automated fiber placement induced defects on performance of composite laminates
    Croft, Kaven
    Lessard, Larry
    Pasini, Damiano
    Hojjati, Mehdi
    Chen, Jihua
    Yousefpour, Ali
    [J]. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2011, 42 (05) : 484 - 491
  • [5] Modeling and Optimizing the Composite Prepreg Tape Winding Process Based on Grey Relational Analysis Coupled with BP Neural Network and Bat Algorithm
    Deng, Bo
    Shi, Yaoyao
    [J]. NANOSCALE RESEARCH LETTERS, 2019, 14 (01):
  • [6] Modeling and Simulation of Voids in Composite Tape Winding Process Based on Domain Superposition Technique
    Deng, Bo
    Shi, Yaoyao
    [J]. APPLIED COMPOSITE MATERIALS, 2018, 25 (05) : 1219 - 1236
  • [7] Multi-Response Parameter Interval Sensitivity and Optimization for the Composite Tape Winding Process
    Deng, Bo
    Shi, Yaoyao
    Yu, Tao
    Kang, Chao
    Zhao, Pan
    [J]. MATERIALS, 2018, 11 (02)
  • [8] Devanathan S, 2012, PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION 2011, VOL 3, P827
  • [9] Adaptive backstepping sliding mode control of flexible ball screw drives with time-varying parametric uncertainties and disturbances
    Dong, Liang
    Tang, Wen Cheng
    [J]. ISA TRANSACTIONS, 2014, 53 (01) : 110 - 116
  • [10] Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive
    El-Sousy, Fayez F. M.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (04) : 1922 - 1936