3D Printer Power Optimization Method Based on ANFIS-PID Control

被引：0
|
作者：
Xie Ruidong
Yi Yingmin [1 ]
Yang Haichuan
机构：
[1] Xian Univ Technol, Key Lab Mfg Equipment Shaanxi Prov, Xian, Peoples R China
来源：
2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
3D printer; Adaptive Neural Fuzzy Inference System; Power optimization; infrared sensors;
D O I：
10.1109/cac48633.2019.8997390
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Many difficulties are in 3D printing temperature control system, including large inertia, large hysteresis, multi-interference, strong coupling, and establishing mathematical models. A 3D printer power optimization method based on adaptive neural fuzzy inference system-PID (ANFIS-PID) is proposed in the paper. Laser spot center temperature is collected by infrared sensors. Combine ANFIS with PID control. Laser center point temperature is optimized by controlling laser power. In this paper, the feasibility of ANFIS-PID control can be verified by simulation. Both control accuracy and anti-interference ability are improved.
引用
收藏
页码：2740 / 2743
页数：4
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