Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation

The time-Temperature progression is one of the most influential factors in determining the beverage's overall quality. This is because the roasted bean takes on noticeably different qualities in the cup depending on the roasting profile used, even though both varieties will have the same colour...

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Published in:12th International Conference on System Engineering and Technology, ICSET 2022 - Proceeding
Main Authors: Miskon M.T., Rahiman M.H.F., Taib M.N.
Format: Conference Paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147325181&doi=10.1109%2fICSET57543.2022.10011075&partnerID=40&md5=ce291d23da357b88d731e524b9465521
id 2-s2.0-85147325181
spelling 2-s2.0-85147325181
Miskon M.T., Rahiman M.H.F., Taib M.N.
Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation
2022
12th International Conference on System Engineering and Technology, ICSET 2022 - Proceeding


10.1109/ICSET57543.2022.10011075
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147325181&doi=10.1109%2fICSET57543.2022.10011075&partnerID=40&md5=ce291d23da357b88d731e524b9465521
The time-Temperature progression is one of the most influential factors in determining the beverage's overall quality. This is because the roasted bean takes on noticeably different qualities in the cup depending on the roasting profile used, even though both varieties will have the same colour at the end of the process. This is specifically due to the fact that roasted beans take on the characteristics of the roasting profile used. Thus, the temperature profile of the coffee bean pile while it is being roasted can be replicated in a significant manner by employing a readily available PID controller. Due to the difficulty of adjusting the PID parameters, however, the controller's performance is seldom optimized. This article compares the performance of PID controllers tuned with M-constrained Integral Gain Optimization (AMIGO) to that of two Fuzzy-PID controllers with three and five membership functions. The step responses, setpoint tracking, and disturbance rejection simulation test results for the Fuzzy-PID controller indicated a significant performance improvement. This includes an average improvement of greater than 90 % in overshoot and greater than 10 % in settling time. © 2022 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference Paper

author Miskon M.T.
Rahiman M.H.F.
Taib M.N.
spellingShingle Miskon M.T.
Rahiman M.H.F.
Taib M.N.
Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation
author_facet Miskon M.T.
Rahiman M.H.F.
Taib M.N.
author_sort Miskon M.T.
title Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation
title_short Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation
title_full Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation
title_fullStr Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation
title_full_unstemmed Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation
title_sort Evaluation of Fuzzy PID controller design for coffee roasting temperature regulation
publishDate 2022
container_title 12th International Conference on System Engineering and Technology, ICSET 2022 - Proceeding
container_volume
container_issue
doi_str_mv 10.1109/ICSET57543.2022.10011075
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147325181&doi=10.1109%2fICSET57543.2022.10011075&partnerID=40&md5=ce291d23da357b88d731e524b9465521
description The time-Temperature progression is one of the most influential factors in determining the beverage's overall quality. This is because the roasted bean takes on noticeably different qualities in the cup depending on the roasting profile used, even though both varieties will have the same colour at the end of the process. This is specifically due to the fact that roasted beans take on the characteristics of the roasting profile used. Thus, the temperature profile of the coffee bean pile while it is being roasted can be replicated in a significant manner by employing a readily available PID controller. Due to the difficulty of adjusting the PID parameters, however, the controller's performance is seldom optimized. This article compares the performance of PID controllers tuned with M-constrained Integral Gain Optimization (AMIGO) to that of two Fuzzy-PID controllers with three and five membership functions. The step responses, setpoint tracking, and disturbance rejection simulation test results for the Fuzzy-PID controller indicated a significant performance improvement. This includes an average improvement of greater than 90 % in overshoot and greater than 10 % in settling time. © 2022 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
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