Modelling of Sabahan Coffee Bean Roasting Process using Optimized FOPDT Function

Miskon, Mohamad Taib; Rahiman, Mohd Hezri Fazalul; Taib, Mohd Nasir

doi:10.1109/icspc50992.2020.9305807

Cited by 2 publications

(3 citation statements)

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“…It is a constant time interval that represents the minimum time required for the process to respond to a change in the input signal. Information regarding the setup of the coffee roaster used in this study and the steps taken to obtain the FOPDT model parameters can be found in the authors' previous work [30]. This includes the development of the coffee roaster, the conduct of an open-loop test, the estimation of FOPDT model parameters using a linear regression method, and the validation of the model.…”

Section: A Process Modelmentioning

confidence: 99%

“…This includes the development of the coffee roaster, the conduct of an open-loop test, the estimation of FOPDT model parameters using a linear regression method, and the validation of the model. Thus, according to the research presented in [30]. the parameters of the FOPDT model have been determined to be K = 1.95, θ = 4.82 s, and τ = 58.94 s.…”

Section: A Process Modelmentioning

confidence: 99%

“…These values were utilised in order to establish a range for the PID gain parameters. Equations ( 7), (8), and (9) can be utilized to compute the updated values of K p , K i , and K d , as suggested in [30]. To account for these constants' maximum values, the maximum values for Kp_max, Ki_max, and Kd_max have been set to 2, 0.05, and 6 respectively.These values are determined based on the particular characteristics of the system.…”

Section: Fuzzy-pid Controllermentioning

confidence: 99%

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Assessing the Effectiveness of Fuzzy-PID Controller under Temperature Setpoint Changes During Coffee Roasting Process

Miskon¹,

Rahiman²,

Taib³

2023

IJETAE

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Roasting coffee is an essential step in the production of coffee because it affects the flavour, aroma, and overall quality of the final product. Temperature control during the roasting process is essential to achieve a consistent and desired taste. This study seeks to assess the performance of a Fuzzy PID (FPID) controller during coffee roasting when the temperature setpoint varies. The temperature range in this study is from 34-200℃. The study employs an SR500 coffee roaster as the process plant, a FOPDT model structure, a PID-AMIGO benchmark controller, FPID-3 and FPID-5 controllers as the proposed controller. The study includes both simulation and real-time testing for the FPID-5 controller. The results for the FPID-5 controller indicated that the overshoot was reduced to 0.24% and 4.04% in simulation and 2.9% and 8.6% in real-time testing, representing an improvement of more than 90% in overshoot reduction compared to the PID controller. Thus, the proposed FPID-5 controller has been proven to effectively suppress overshoot during temperature setpoint changes in the coffee roasting process. Keywords— Arduino, FOPDT, Process control, temperature controller, real-time control.

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Section: A Process Modelmentioning

confidence: 99%

Section: A Process Modelmentioning

confidence: 99%

Section: Fuzzy-pid Controllermentioning

confidence: 99%

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