Researches on temperature control strategy of SMHS-type 3D printing based on variable universe fuzzy control

被引:0
作者
Wu T. [1 ]
Tang Y. [1 ]
Fei D. [1 ]
Li Y. [1 ]
He W. [1 ]
机构
[1] School of Automation, China University of Geosciences, No. 388 Lumo Road, Hongshan District, Wuhan, Hubei
来源
| 1600年 / Fuji Technology Press卷 / 21期
关键词
Constant energy printing; Fuzzy control; Temperature control on 3D printing; Variable universe;
D O I
10.20965/jaciii.2017.p0166
中图分类号
学科分类号
摘要
Selective micro heat sintering (SMHS)-type 3D printing technology is a widely applied method in rapid prototyping, which uses an electric heating component to sinter non-metallic powder. It requires precise control of the heating component's energy and its sintering time. Temperature is one of the key factors that affect the forming quality of fused-type 3D printing technology. Aiming at the nonlinear and time-delay characteristics of temperature control in fused-type 3D printing, a fuzzy control method based on variable universe fuzzy control was studied. This fuzzy control method adopts a set of nonlinear expansion-contraction factors to make the variable universes change with the adaptive error, which can help acquire adaptive temperature adjustment in the rapid prototyping process control. The results of the simulation and experiment showed that the controlled temperature response was faster, the overshoot was smaller, and the stability was better compared to the conventional fuzzy proportion integration differentiation (PID) algorithm after the temperature reached the target temperature. The printed results indicated that the universe fuzzy PID control can effectively improve the accuracy of the workpiece shapes and that the density distribution of the workpiece is increased, which can help improve the forming quality.
引用
收藏
页码:166 / 171
页数:5
相关论文
共 50 条
  • [31] Trajectory-based Control under ZMP Constraint for the 3D Biped Walking via Fuzzy Control
    Wu, Hsiu-Ming
    Hwang, Chih-Lyang
    IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 706 - 712
  • [32] Variable Universe Fuzzy Control Strategy for Magneto-Rheological Semi-active Suspension of Cross Country Car
    Pang H.
    Liu F.
    Wang Y.
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 39 (02): : 311 - 319
  • [33] Core Power Control of Liquid Molten Salt Reactor Based on Variable Universe Fuzzy-PID
    Jiang Q.
    Zeng W.
    Yu T.
    Xie J.
    Chen L.
    Hedongli Gongcheng/Nuclear Power Engineering, 2020, 41 (02): : 109 - 113
  • [34] Multi Permanent Magnet Synchronous Motor Synchronization Control based on Variable Universe Fuzzy PI Method
    Tian, Zhongda
    Li, Shujiang
    Wang, Yanhong
    Zhang, Quan
    ENGINEERING LETTERS, 2015, 23 (03) : 180 - 188
  • [35] Drag-free Control for Cold Air Thrusters based on Variable Universe Adaptive Fuzzy PID
    Wang, Xudong
    Long, Jun
    Zhu, Qiao
    Cui, Jiarui
    2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2014, : 159 - 163
  • [36] Design of longitudinal predictive re-entry guidance law based on variable universe fuzzy-PI composite control
    Yin WANG 1
    2.College of Astronautics
    Control Theory and Technology, 2012, 10 (02) : 264 - 267
  • [37] Design of longitudinal predictive re-entry guidance law based on variable universe fuzzy-PI composite control
    Yin Wang
    Yuping Lu
    Wang, Y. (xpw417@163.com), 1600, South China University of Technology (10): : 264 - 267
  • [38] The Heel and Trim Adjustment of Manned Underwater Vehicle Based on Variable Universe Fuzzy S Surface Control
    Li Ji-qing
    Wan Lei
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 1122 - 1125
  • [39] Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation
    Liu, Chen
    Wang, Jiang
    Deng, Bin
    Wei, Xi-Le
    Yu, Hai-Tao
    Li, Hui-Yan
    NEUROCOMPUTING, 2015, 151 : 1507 - 1518
  • [40] Research on the mill feeding system of an elastic variable universe fuzzy control based on particle swarm optimization algorithm
    Tian, Niu
    Huang, Songwei
    He, Lifang
    Du, Lingpan
    Yang, Sheping
    Huang, Bin
    PHYSICOCHEMICAL PROBLEMS OF MINERAL PROCESSING, 2023, 59 (03): : 169942 - 169942