Optimized temperature controller for plastic injection molding system

Selvakarthi, D.; Prasad, S. J. Suji; Meenakumari, R.; Balakrishnan, P.

doi:10.1109/icgccee.2014.6922339

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Apart from classical PID control, there are a variety of advanced control methods aimed to provide precise temperature management of the heaters with instable parameters. Precision temperature control can be obtained using advanced algorithms, such as an artificial neural network (ANN) [8][9][10], fuzzy-logic, or combined adaptive neuro fuzzy inference system (ANFIS) controller [11][12][13]. However, either classical or ANN-based controllers have to be tuned in the initial stage of operation.…”

Section: Of 13mentioning

confidence: 99%

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An ANN-Based Temperature Controller for a Plastic Injection Moulding System

et al. 2019

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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.

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Section: Of 13mentioning

confidence: 99%

“…The transposed extended state column vector for the first, initial step of control operation can be derived from Equations (13) and 14, taking into account Equations (9), (11), and (12):…”

Section: Reference Digital Controller Designmentioning

confidence: 99%

An ANN-Based Temperature Controller for a Plastic Injection Moulding System

et al. 2019

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Variable Structure Controller for Plastic Injection Moulding System

Veligorskyi

Khomenko

Chakirov

et al. 2020

2020 IEEE International Conference on Industrial Technology (ICIT)

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Set Point Tracking and Load Disturbance Rejection with PID and I-PD Controllers in Different Zones of Barrel Heating System

Prasad¹,

Selvakarthi²,

Vaithilingam³

2019

IJCTR

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Most of the processes in process industries are non-linear and injection molding system is an example of such non-linear process. Maintaining proper barrel temperature is the key control action required for accurate shape and structure of the products. The mathematical model of each zone of the barrel can be used to analyze the characteristics of the plastic injection. Traditional Proportional Integral and Derivative (PID) and I-PD controllers are selected for analyzing performance of different zones of barrel heating system. The simulation results show that I-PD controllers outperform the conventional PID controller with improved set point tracking and load disturbance rejection.

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Optimized temperature controller for plastic injection molding system

Cited by 3 publications

References 9 publications

An ANN-Based Temperature Controller for a Plastic Injection Moulding System

An ANN-Based Temperature Controller for a Plastic Injection Moulding System

Variable Structure Controller for Plastic Injection Moulding System

Set Point Tracking and Load Disturbance Rejection with PID and I-PD Controllers in Different Zones of Barrel Heating System

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