Experimental Insights into the Modeling and Control of Heater Systems Using Discrete PID Controllers

This research presents the real-time implementation of discrete PI and PID control algorithms on a Heater System, with the system model identified through open-loop experiments using the Scilab platform. A First-Order Plus Dead Time model is fitted to the experimental data, and controller parameters are determined using the tuning method. The study investigates the impact of disturbances, modeled by a DC fan, on temperature control and compares the performance of different control strategies. The PID and PID with filter controllers show improved disturbance rejection, faster response, and reduced steady-state error, offering valuable insights for selecting the most effective control algorithm for temperature control in such systems.

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Published
2025-02-21
DOI
https://doi.org/10.1109/setcom64758.2025.10932433
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Experimental Insights into the Modeling and Control of Heater Systems Using Discrete PID Controllers

K. Shah Ankit, Anilkumar Markana, Hardik R. Patel
Advanced Control Systems Optimization
article

Experimental Insights into the Modeling and Control of Heater Systems Using Discrete PID Controllers

K. Shah Ankit, Anilkumar Markana, Hardik R. Patel
article en

Abstract

This research presents the real-time implementation of discrete PI and PID control algorithms on a Heater System, with the system model identified through open-loop experiments using the Scilab platform. A First-Order Plus Dead Time model is fitted to the experimental data, and controller parameters are determined using the tuning method. The study investigates the impact of disturbances, modeled by a DC fan, on temperature control and compares the performance of different control strategies. The PID and PID with filter controllers show improved disturbance rejection, faster response, and reduced steady-state error, offering valuable insights for selecting the most effective control algorithm for temperature control in such systems.

Government Medical College (IN), Pandit Deendayal Energy University (IN)
Affordable and clean energy
Openalex Percentile: Top 94%
Advanced Control Systems Optimization
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