Full-Scale Output Adjustment of CSTR by Feedforward and Feedback Controllers

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.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/rtsi61910.2024.10761796
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Full-Scale Output Adjustment of CSTR by Feedforward and Feedback Controllers

Ali Almohammedi, M. A. Abido
Fault Detection and Control Systems
article

Full-Scale Output Adjustment of CSTR by Feedforward and Feedback Controllers

Ali Almohammedi, M. A. Abido
article en

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.

King Fahd University of Petroleum and Minerals (SA)
Openalex Percentile: Top 75%
Fault Detection and Control Systems
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