Litcius/Paper detail

A Fuzzy Self-tuning Temperature PID Control Algorithms for 3D Bio-printing Temperature Control System

Xiaoyan Wu, Xinnan Wang, Guogeng He

202016 citationsDOI

Abstract

The precision of temperature control in temperature control area of 3D bio-printing device is directly related to the continuity of printing material and the quality of rapid prototyping. In order to improve the accuracy of temperature control and reduce overshoot, the fuzzy self-tuning temperature PID control algorithm of temperature control area of 3D bio-printing device is studied. Experiments are carried out to verify the fuzzy self-tuning temperature PID control algorithm and BECKHOFF PID control algorithm respectively. The results show that the temperature self-tuning fuzzy PID control algorithm can greatly improve the robustness and static and dynamic performance of temperature control, reduce the steady-state time of actual temperature reaching steady state, greatly reduce the overshoot, enhance the anti-interference ability, and it can more effectively meet the requirement of temperature control accuracy for the quality and activity of rapid prototyping of biological tissue in 3D biological printing device.

Topics & Concepts

Temperature controlPID controllerOvershoot (microwave communication)Control theory (sociology)Fuzzy control systemRobustness (evolution)Fuzzy logicComputer scienceControl engineeringControl systemRapid prototypingEngineeringAlgorithmControl (management)Artificial intelligenceMechanical engineeringChemistryTelecommunicationsElectrical engineeringBiochemistryGeneAdditive Manufacturing and 3D Printing Technologies3D Printing in Biomedical ResearchImage Processing Techniques and Applications
A Fuzzy Self-tuning Temperature PID Control Algorithms for 3D Bio-printing Temperature Control System | Litcius