Implementation of a Neural Network for Adaptive PID Tuning in a High-Temperature Thermal System

Implementation of a Neural Network for Adaptive PID Tuning in a High-Temperature Thermal System

Precise temperature control in high-temperature furnaces is challenged by nonlinearities, parameter drift, and high thermal inertia. This study proposes an adaptive control strategy combining a classical PID loop with real-time gain updates from a feed-forward artificial neural network (ANN). Implem...

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Bibliographic Details
Main Authors: Juan Carlos Almachi, Ramiro Vicente, Edwin Bone, Jessica Montenegro, Edgar Cando, Salvatore Reina
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
adaptive PID control
artificial neural network
thermal process control
high-temperature furnace
real-time control
Online Access:https://www.mdpi.com/1996-1073/18/12/3113
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