Abstract
Artificial bee colony (ABC) and particle swarm optimization (PSO) heuristic controlling methods are developed and incorporated in the feedforward and feedback controllers of the continuous stirred tank reactor (CSTR) model. The output control is able to track the input reference signal and has the capability of full-scale adjustment from 0% to 100% based on the demand. When the tracking control constant is adjusted to 0%/100%, the output signal is operated at 0%/100% by ignoring the open/closed-loop feedforward/feedback controller and relaying on the closed/open-loop feedback/feedforward controller only. The parameter estimate has a wider scope of pole placement option in compared to the existing RLS design. In the simulation, the proposed heuristic controlling methods were able to reach up to 0.8 pole placement, whereas the existing RLS controller was limited up to 0.5.
| Original language | English |
|---|---|
| Title of host publication | 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Proceeding |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 226-231 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350362138 |
| DOIs | |
| State | Published - 2024 |
| Event | 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Milano, Italy Duration: 18 Sep 2024 → 20 Sep 2024 |
Publication series
| Name | 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Proceeding |
|---|
Conference
| Conference | 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 |
|---|---|
| Country/Territory | Italy |
| City | Milano |
| Period | 18/09/24 → 20/09/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- artificial bee colony
- continuous stirred tank reactor
- full-scale output control
- particle swarm optimization
- tracking
ASJC Scopus subject areas
- Media Technology
- Control and Optimization
- Modeling and Simulation
- Artificial Intelligence
- Computer Science Applications
- Signal Processing
- Energy Engineering and Power Technology
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