Abstract
The control of a temperature plant with a dominant time delay is complex due to its exposure to disturbances, which can be internal or external. Since these negative interferences exist within the plant, a time delay occurs, directly related to temperature changes, as the plant takes more time to reach stability. To solve this problem, a Smith Predictor is developed, which is an anticipatory algorithm aimed at improving the plant’s dynamics. Temperature data is collected through experimentation, varying over time. This data is collected both before and after the implementation of the Smith Predictor to analyze the variations in time and temperature during the simulation. Finally, the data obtained with the Smith Predictor is presented, which will be used to control the plant through sensors and actuators. The process will be implemented on an ARM board, facilitating the processing of data obtained during the simulation. The expected result when using the algorithm is satisfactory, as it achieves the plant’s maximum potential with a shorter response time.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application |
| Editors | Marcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 553-566 |
| Number of pages | 14 |
| ISBN (Print) | 9783031709807 |
| DOIs | |
| State | Published - 2024 |
| Event | International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador Duration: 6 Nov 2023 → 10 Nov 2023 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 797 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 |
|---|---|
| Country/Territory | Ecuador |
| City | Ambato |
| Period | 6/11/23 → 10/11/23 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- ARM
- dominant time delay
- EPC
- Predictor Smith
CACES Knowledge Areas
- 417A Electronics, Automation and Sound
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