An Intelligent Optimization Controller for a Non-Linear System: Application to an Injection Molding Machine

J.M. Liang

doi:10.4028/www.scientific.net/AMM.10-12.884

Paper Titles

Simulation of Substrate Temperature Distribution in Diamond Films Growth on Cemented Carbide Inserts by Hot Filament CVD
p.864

State Recognition Technology and Application on Milling Tool Wear
p.869

5-Axis Tool Positioning via RFIM Strategy
p.874

Cutting Parameters Optimization by Using Particle Swarm Optimization (PSO)
p.879

An Intelligent Optimization Controller for a Non-Linear System: Application to an Injection Molding Machine
p.884

Survey on the Design and Planning of Cable Harness Assemblies in Electromechanical Products
p.889

Position Control System Design and Low Speed Analysis of the Three-Axis Simulator
p.894

Finite Element Analysis of Dynamic Characteristics of High-Speed Motorized Spindle
p.900

Analyze of Clamp Rod on Spring Tube Stiffness Measurement
p.905

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 10-12An Intelligent Optimization Controller for a...

An Intelligent Optimization Controller for a Non-Linear System: Application to an Injection Molding Machine

Abstract:

The injection molding process has been well-known non-linear complex dynamics and the approach extensively applied manual control and rely on experienced engineers. An intelligent optimization controller has been designed with two series neural networks and the multi-losses function has been proven can automatically adjust the machine setting overcome the complex dynamics to upgrade part’s quality and reduce experienced engineers. The proposed method has shown promising future for expediting the on-line process parameter tuning work to other complicate non-linear system in the future.