Design of Temperature Control for Herbal Dryer Based on Pid Controller by Utilizing Renewable Energy Sources

Heriansyah, Heriansyah; Istiqphara, Swadexi; Adliani, Nur

doi:10.33019/ecotipe.v6i2.1392

Cited by 3 publications

(1 citation statement)

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“…In this study, there are several literatures used related to temperature control. The method used is to design a dryer model using temperature control with the PID controller method to obtain good drying performance because it can achieve and be able to maintain the temperature at the specified value in a relatively fast time, such as rotary dryer [9][10][11]. In comparison to the PID controller, the use of fuzzy controller had been studied on indirect solar dryer [12], and other dryer types [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

Jurnal Polimesin

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Hohenheim Tunnel Dryer has two heating mechanisms, namely the solar collectors and the greenhouse effect. Two outlet fans are used to remove moisture from drying as well as to lower the temperature in the drying chamber. Suppose the outlet fans are turned on continuously, the temperature in the drying room will not reach the optimal drying temperature, and vice versa if the outlet fans are not turned on, the drying temperature can exceed 60°C. Controlling these outlet fans manually is a very inconvenient thing and becomes an obstacle for accepting this drying technology by the farmers. Therefore, this study focused on the design of temperature control for the Hohenheim Tunnel Dryer by using a proportional integral derivative (PID) controller with an Arduino Nano microcontroller. It controls the fan outlet to obtain an optimal drying temperature so that the operation of this dryer becomes more accessible and more efficient. The temperature sensor used is DHT22. The tuning method chosen is the Ziegler -Nichols method, and the setpoint value is selected at 55, which is the optimum temperature for drying most agricultural products. The design, manufacture, and testing of the temperature control system on the Hohenheim tunnel dryer was successfully carried out without over shoot and steady state error so it can be concluded that the system has worked well.

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Section: Introductionmentioning

confidence: 99%

Untitled

2023

Jurnal Polimesin

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Determining The Drying Rates of Fabrics with Different Knit Structures by Fuzzy Logic Method

Akarslan

KODALOĞLU

2023

International Journal of Computational and Experimental Science and Engineering

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Drying; It is a process applied to reduce the amount of water in a product or to reduce it to very low levels. The constantly changing conditions during the drying process make it difficult to determine the most suitable operating conditions to perform the drying process, such as drying time, energy consumption and product structural characteristics. In terms of a suitable drying, it is important to be able to control the factors affecting the drying depending on the characteristics of the product. Among these factors, the drying method and the pre-treatments that can be applied are also effective on drying. The high temperatures applied during drying and other conditions that are not chosen correctly can cause negative results in both the appearance of the product. The drying process in the textile industry is an expensive and laborious process that requires a lot of energy. The main purpose of the drying process is to provide maximum energy saving and energy efficiency at minimum time and cost without compromising the quality and structural properties of the material used. In this study, four fuzzy models were created depending on fabric fiber blend ratios and knitting structure in order to determine the effect on drying speed depending on time and temperature by using fuzzy logic method, which is one of the artificial intelligence methods.

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Mikrodalga kurutucu için bulanık modelleme: Pamuklu dokuma kumaş kurutma işlemi

Akarslan

2023

Uluslararası Teknolojik Bilimler Dergisi

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Microwave drying stands out because it is faster than traditional drying methods, drying in the product is more uniform and energy efficiency. In this study, fuzzy modeling of a microwave dryer was developed. Microwave dryer is considered as a non-linear dryer. The proposed fuzzy model is used to estimate the drying rate for different electrical powers and different drying times. Different experimental measurements were used to evaluate the reliability of this model. Compared to other modeling techniques, thanks to simulation, the fuzzy model of the dryer provides an immediate estimation of the drying rate. This study will provide drying rates under demanded conditions and help determining machine parameters for a given product providing time and energy saving.The behavior predicted by the fuzzy model confirms the suitability of the defined model.

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Design of Temperature Control for Herbal Dryer Based on Pid Controller by Utilizing Renewable Energy Sources

Cited by 3 publications

References 0 publications

Untitled

Untitled

Determining The Drying Rates of Fabrics with Different Knit Structures by Fuzzy Logic Method

Mikrodalga kurutucu için bulanık modelleme: Pamuklu dokuma kumaş kurutma işlemi

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