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
  • [1] Variable universe fuzzy control algoeith based on fuzzy inference
    Liu, Xiao-Yun
    Li, Liang-Feng
    Chen, Wu-Fan
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 453 - 457
  • [2] M3C outer loop control strategy based on variable universe fuzzy PI control
    Ma, Xinghe
    Pan, Yue
    JOURNAL OF POWER ELECTRONICS, 2024, 24 (12) : 1869 - 1878
  • [4] Main Steam Temperature Control Based on Variable Universe Fuzzy Dynamic Matrix Control
    Lian, Lian
    THERMAL ENGINEERING, 2022, 69 (10) : 763 - 778
  • [5] Control Strategy for Electric Spring Based on Fuzzy Proportional-Integral Self-adaptive Control in Variable Universe
    Lyu G.
    Xu W.
    Wang P.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2020, 44 (18): : 172 - 178
  • [6] Adaptive Fuzzy Control Based on Variable Universe for Ship Course
    Wang, Yuchao
    Fu, Huixuan
    Liu, Sheng
    PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION, 2015, 337 : 299 - 307
  • [7] The Design of Greenhouse Environment Control System Based on Variable Universe Fuzzy Control Algorithm
    He, Haiyan
    Xue, Heru
    COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT I, 2012, 368 : 72 - 78
  • [8] A Variable Universe Fuzzy Control Algorithm Based on Fuzzy Neural Network
    Li, Liangfeng
    Liu, Xiaoyun
    Chen, Wufan
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 4352 - 4356
  • [9] A PMLSM Position Control Based on Variable Universe Fuzzy Controller
    Wang, Yiwang
    Cao, Fengwen
    ICECT: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMPUTER TECHNOLOGY, PROCEEDINGS, 2009, : 254 - +
  • [10] Valve Positioner Opening Control Based on Variable Universe Fuzzy Logic ADRC
    Min, Zhu
    Xu Zihao
    Zang Zhaoyu
    Yang, Chen
    2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 83 - 89