Abstract

This paper proposes an approach to an ANN-based temperature controller design for a plastic injection moulding system. This design approach is applied to the development of a controller based on a combination of a classical ANN and integrator. The controller provides a fast temperature response and zero steady-state error for three typical heaters (bar, nozzle, and cartridge) for a plastic moulding system. The simulation results in Matlab Simulink software and in comparison to an industrial PID regulator have shown the advantages of the controller, such as significantly less overshoot and faster transient (compared to PID with autotuning) for all examined heaters. In order to verify the proposed approach, the designed ANN controller was implemented and tested using an experimental setup based on an STM32 board.

Highlights

  • Injection moulding is a fundamental industrial process in the polymer industry for plastic part manufacturing

  • This paper proposes an approach to design an artificial neural network (ANN)-based temperature controller for a plastic to increase the performance of the manufacturing process due to a fast transient

  • This paper discussed a method of temperature controller design for a plastic injection moulding

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Summary

Introduction

Injection moulding is a fundamental industrial process in the polymer industry for plastic part manufacturing. It is important to note that the melting zone heater properties can vary over time in relation to the filling level of barrel, type of plastic, number of production cycles, etc This uncertainty of heater properties makes the model-based methods inefficient and requires the utilisation of a complex control system operating under sophisticated algorithms [3,4,7]. Such an approach utilises the generalization ability of ANN This method of control is implemented to ensure an efficient operation of the manufacturing system, providing a fast transient and minimum overshooting of the temperature in the melting zone. This paper proposes an approach to design an ANN-based temperature controller for a plastic to increase the performance of the manufacturing process due to a fast transient. Simulation for various barrels and heaters in a Matlab/Simulink software environment and a comparison with experimental

ANN Controller
Design
ANN Structure and Training
Matlab
Matlab-model
Experimental Validation
Findings
Conclusions
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