Soft Computing Based Cavity Temperature Control of Plastic Injection Molding system

Authors

  • S. J. Suji Prasad

DOI:

https://doi.org/10.24297/jac.v12i9.6004

Keywords:

I-PD Controller, Mean Square Error (MSE), melt temperature, optimization, settling time, undershoot

Abstract

The plastic parts having complex three dimensional structures are produced by Plastic injection molding system. The
quality of the product is determined by controlling the temperature of the mold cavity. The mold cavity temperature control
with the conventional ON/OFF, PI, and PID controllers have several disadvantages. This paper proposes the method to
reduce settling time and undershoot in cavity temperature control with selected evolutionary algorithms. The controller
parameters are optimized with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Algorithm for PID and I-PD
controllers by considering Mean Square Error (MSE) as fitness function. Compared to conventional methods the
parameter optimization using soft computing methods such as GA and PSO improves the performance indices of PID and
I-PD controllers.

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Published

2017-03-23

How to Cite

Suji Prasad, S. J. (2017). Soft Computing Based Cavity Temperature Control of Plastic Injection Molding system. JOURNAL OF ADVANCES IN CHEMISTRY, 12(9), 4389–4397. https://doi.org/10.24297/jac.v12i9.6004

Issue

Vol. 12 No. 9 (2016)

Section

Articles

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