An energy efficient architecture for furnace monitor and control in foundry based on industry 4.0 using IoT

M Dinesh, C Arvind, SS Sreeja Mole… - Scientific …, 2022 - Wiley Online Library
The global standards in the field of industrial automation are maintained in industries by
completely digitizing their manufacturing process with industry 4.0 standard. Internet of …

Wavelet fuzzy neural networks for identification and predictive control of dynamic systems

CH Lu - IEEE Transactions on Industrial Electronics, 2010 - ieeexplore.ieee.org
This paper presents a wavelet fuzzy neural network (WFNN) structure for identifying and
controlling nonlinear dynamic systems. The proposed WFNN is constructed on the base of a …

Adaptive predictive control with recurrent neural network for industrial processes: An application to temperature control of a variable-frequency oil-cooling machine

CH Lu, CC Tsai - IEEE Transactions on Industrial Electronics, 2008 - ieeexplore.ieee.org
An adaptive predictive control with recurrent neural network prediction for industrial
processes is presented. The neural predictive control law with integral action is derived …

Sensorless force control for injection molding machine using reaction torque observer considering torsion phenomenon

Y Ohba, M Sazawa, K Ohishi, T Asai… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Recently, many plastic products have been produced and used. These plastic products are
mostly manufactured using injection molding machines. The quality of plastic products …

Decomposition methods for manufacturing system scheduling: A survey

F Yang, K Gao, IW Simon, Y Zhu… - IEEE/CAA Journal of …, 2018 - ieeexplore.ieee.org
Manufacturing is the application of labor, tools, machines, chemical and biological
processing, to an original raw material by changing its physical and geometrical …

Identification and autotuning of temperature-control system with application to injection molding

T Liu, K Yao, F Gao - IEEE transactions on control systems …, 2009 - ieeexplore.ieee.org
Motivated by the practical barrel-temperature control of injection molding, this paper
proposes two identification methods and a united control scheme for general temperature …

Adaptive online quality control for injection‐molding by monitoring and controlling mold separation

Z Chen, LS Turng, KK Wang - Polymer Engineering & Science, 2006 - Wiley Online Library
This paper presents a unique method that makes use of a small signal (of the magnitude of
microns) measured by a precision linear displacement transducer mounted on the outside of …

Temperature distribution measurement and control of extrusion process by tomography

Y Yang, W Yang, H Zhong - 2008 IEEE International Workshop …, 2008 - ieeexplore.ieee.org
Polymer extrusion molding is an important process in the polymer manufacturing industry. It
is crucial to measure and control the temperature of polymer melt. Although different …

Adaptive predictive control based on adaptive neuro-fuzzy inference system for a class of nonlinear industrial processes

P Sarhadi, B Rezaie, Z Rahmani - Journal of the Taiwan Institute of …, 2016 - Elsevier
In present paper, a novel adaptive predictive control method is proposed for a class of
nonlinear systems via adaptive neuro-fuzzy inference system (ANFIS). In the proposed …

Self-organizing fuzzy controller for injection molding machines

J Lin, RJ Lian - Journal of Process Control, 2010 - Elsevier
Most plastic parts are manufactured using an open-loop injection molding machine (IMM).
However, this process produces parts with poor dimensional precision and may result in …