Research on Temperature Control System of Desktop 3D Printer Based on Fuzzy Adaptive

Research on Temperature Control System of Desktop 3D Printer Based on Fuzzy Adaptive
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基于模糊自适应的桌面3D打印机温度控制系统研究

DOI:
10.1109/icicas48597.2019.00137
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发表时间:
2019
期刊:
2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)
影响因子:
--
通讯作者:
Yi Wang
Yi Wang
中科院分区:
--
文献类型:
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作者:
Yu Liang;Mo Fu;Yi Wang

文献摘要

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在桌面3D打印机的打印过程中,需要对打印耗材进行加热和熔化,并将挤出层的层进行堆叠。加热温度控制系统具有非线性、大惯性、大滞后等特点,存在加热时间长、温度控制不准确等缺点。针对上述问题,本文提出了一种模糊自适应台式3D打印机温度控制策略。将ARM LPC1768高性能微控制器与模糊自适应特性相结合,实现了快速、精确的温度控制,并利用MatLab/Simulink建立了控制系统的温度仿真模型。实验结果表明,与常规的PID控制方法相比,模糊自适应PID控制器具有超调量小、温度跟踪性能好、动态响应快、可靠性高等优点。它是桌面3D打印机温度控制的最佳选择。
In the printing process of desktop 3D printer, the printing consumables is to be heated and melted, and the layers of the extrusion layer are stacked. The heating temperature control system has the characteristics of nonlinearity, large inertia and large hysteresis, which it is some disadvantages for making the heating process take more time and inaccurating temperature control. Aiming at the above problems, a fuzzy adaptive desktop 3D printer temperature control strategy is proposed in this paper. The ARM LPC1768 high-performance microcontroller is combined with the fuzzy adaptive feature to implement temperature control fastly and precisly, and the temperature simulation model of the control system is established by Matlab/Simulink. The experimental results show that the fuzzy adaptive PID controller has the advantages of small overshoot, good temperature tracking performance, fast dynamic response and high reliability compared with the conventional PID control method. It is optimal for the temperature control of the desktop 3D printer.