Thermoplastics Injection Molding Machine Control, PartII: Barrel Temperature Control using PD-PI, PI-PD and 2DOF-2 Controllers Compared with ANN-PI Controller
Alt Text: Thermoplastics Injection Molding Machine Control – Barrel Temperature Control using PD-PI, PI-PD and 2DOF-2 Controllers Compared with ANN-PI Controller
Title: Thermoplastics Injection Molding Machine Control – Barrel Temperature Control using PD-PI, PI-PD and 2DOF-2 Controllers Compared with ANN-PI Controller
Caption: Comparative analysis of PD-PI, PI-PD, and 2DOF-2 controllers for thermoplastics injection molding barrel temperature control.
Description: This research investigates tuning methodologies for PD-PI, PI-PD, and 2DOF-2 controllers in thermoplastics injection molding, comparing performance with ANN-PI controllers using MATLAB optimization.
Keywords: Thermoplastics injection molding machine, Barrel temperature control, PD-PI controller, PI-PD controller, 2DOF-2 controller, controller tuning
International Journal of Engineering and Techniques – Volume 10 Issue 3, May 2024
Galal Ali Hassaan
Department of Mechanical Design & Production, Faculty of Engineering, Cairo University
Abstract
This paper investigates the tuning of PD-PI, PI-PD, and 2DOF-2 controllers for controlling the barrel temperature of an injection molding machine. MATLAB optimization toolbox and ITAE performance indices are applied for tuning and generating unit step time responses for reference and disturbance inputs. A novel technique enhances disturbance rejection, and comparative analysis against ANN-PI controllers is presented. The study assigns the best controller for efficient temperature control.
Keywords
Thermoplastics injection molding machine, Barrel temperature control, PD-PI controller, PI-PD controller, 2DOF-2 controller, Controller tuning
How to Cite
Galal Ali Hassaan, “Thermoplastics Injection Molding Machine Control – Barrel Temperature Control using PD-PI, PI-PD and 2DOF-2 Controllers Compared with ANN-PI Controller,” International Journal of Engineering and Techniques, Volume 10, Issue 3, 2024. ISSN 2395-1303.
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