Self-Tuned Fuzzy PID Temperature Controller Implementation in Hot-Air Coffee Roasting Process

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

doi:10.24191/jeesr.v21i1.018

Cited by 1 publication

(2 citation statements)

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“…Conventional PID controllers are typically employed to regulate temperature-related processes, such as the coffee roasting procedure [18]- [20]. However, there are a number of well-known limitations associated with the use of PID controllers in temperature control applications that can affect their performance and the final product's quality [21]- [23].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The setting of the gain parameters for the PID controller in this research follows the AMIGO tuning rules, which establish the values of K p = 2.9, K i = 0.1, and K d = 6.9. In addition, this decision was made after a comparison of several tuning methods including Cohen Coon, Ziegler-Nichols and AMIGO in the authors' previous work [20]. The AMIGO method was found to perform better when there were changes in the setpoint temperature.…”

Section: B 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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