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Journal articles on the topic 'Drying system control'

Author: Grafiati

Published: 30 May 2022

Last updated: 19 July 2025

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Alkahdery, L. A. "AUTOMATED TEMPERATUREAND HUMIDITY CONTROL AND MONITORING SYSTEM FOR IMPROVING THE PERFORMANCE IN DRYING SYSTEM." Eurasian Physical Technical Journal 20, no. 2 (44) (2023): 32–40. http://dx.doi.org/10.31489/2023no2/32-40.

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Temperature and relative humidity are the key control parameters in drying processes for preserving and improving food quality. To achieve this goal, an automatic control system has been designed and built to provide adequate heat and drying streams according to the ambient requirements of various climatic zones and the kind of dried product. The control system combined with sensors allows the temperature and humidity of the drying chamber to be adjusted online by predetermined parameters. When there is little or no radiation present or when rapid drying rates are required, the heated air stream may be produced utilizing an electric motor fan in addition to an electrical backup heater. The fan automatically modifies its speed using the Pulse Width Modulationtechniquefor energy efficiency depending on the required temperature of the drying chamber. The control system based on Arduino Uno board is built within the solar dryer, after which tests are carried out. The test results are displayed on a display. Themanagement system was set up to maintain an ambient temperature between 40 and 60 °C andrelative humidity between 10 and 20 %. The system is a flexible solution for different climatic zones and dried products, according to experimental findings demonstratingits efficiency in managing the drying environment. Finally, this paper can conserve energy because it only works when the temperature around the food is below 60 oC.

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Sherbaevich, Bekkulov Jakhongir, Saidov Imam Hasan ugli, Akhemoda Sitora Askar kizi, and Turaev Orzubek Amir ugli. "ADAPTIVE CONTROL SYSTEM FOR A FLUIDIZED BED DRYER." American Journal of Applied Science and Technology 4, no. 12 (2024): 47–56. https://doi.org/10.37547/ajast/volume04issue12-09.

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The advantages and disadvantages of numerous interconnected adaptive drying process control systems have been analyzed. An adaptive system for the process has been developed that enables the calculation of hydrodynamics and seed moisture content in a fluidized bed. This system is based on the separation of reactive zones, taking into account the fluidized bed and dynamic models of the drying process within the fluidized bed.

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Aprillia, Bandiyah Sri, Brahmantya Aji Pramudita, and Prisma Megantoro. "Temperature Control System on Greenhouse Effect Gaplek Dryer." JURNAL INFOTEL 14, no. 1 (2022): 50–56. http://dx.doi.org/10.20895/infotel.v14i1.736.

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Gaplek is a processed product of cassava that requires a drying process to remove the water content in cassava. Solar thermal energy can be used for the drying process of gaplek by using a greenhouse effect drying system. However, the greenhouse effect drying system using solar thermal energy is very dependent on weather conditions and temperature that is difficult to control. Therefore, a temperature control system is proposed in this study by utilizing Pulse Width Modulation (PWM) to control the exhaust fan speed. Thus, the temperature can be maintained according to the drying standard of processed cassava products. In this study, a temperature control system has been successfully created that is able to maintain the temperature in the drying room according to the drying standard, namely at a temperature of 50℃ to 60℃ when tested in three different locations, namely, Sukamaju Village, Kaligunting Village, and Sumberejo Village which have shown optimal drying temperature.

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Di, Shuyu, and Shumei Di. "The Development and Implementation of Alcohol Plant Fan Drying Control System." International Journal of Modeling and Optimization 4, no. 2 (2014): 137–40. http://dx.doi.org/10.7763/ijmo.2014.v4.361.

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Feng, Jingxiao, and Xijuan Wang. "Research on electrical automatic control system based on PLC." Journal of Physics: Conference Series 2258, no. 1 (2022): 012079. http://dx.doi.org/10.1088/1742-6596/2258/1/012079.

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Abstract At present, automatic control technology is widely used in the field of drying. Although the existing processing technology can basically ensure the quality of drying, there are some problems, such as low production efficiency, low thermal efficiency, uneven hot air cloth, inaccurate temperature control and so on. The application of electromagnetic technology can improve the efficiency of drying and processing. It has remarkable energy-saving effect. In the drying process, aiming at the technical problems such as incomplete volatilization of water and difficult stability of temperature in rapid drying, a drying system based on PLC control is designed in this paper. Using PLC as the main controller of the control system, through the reasonable control of the changes of temperature and humidity in the drying process, a more efficient processing process can be realized. The drying quality can be improved, and the process flow of mass processing and production can be realized. Through the experimental analysis of the drying process, it is proved that the control accuracy of the research content in this paper is more accurate, which not only improves the automation level in the drying process, but also reduces the labor cost in the process, and has high technical application value.

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Yuan, Yan Wei, Zheng Sun, Shu Jun Li, Xin Dong, Jun Ning Zhang, and Li Ming Zhou. "Adaptive Control System of Coated Seed Dryer." Applied Mechanics and Materials 536-537 (April 2014): 1261–66. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1261.

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In order to improve the efficiency of the coated seed dryers, improve the drying quality and reduce energy consumption, the adaptive control technology of coated seed dryer was studied. Detection system for temperature measuring, material level measuring, and wind speed and direction measuring were fixed on the drying equipment. According to the detected data, the adaptive control system controlled the dryer blade to adjust the temperature and intensity of air intake. This technology accurately controlled the drying air temperature, moisture and moisture content in the seeds. The test results show that the drying efficiency is 1.38 times of the original dryer, while the power consumption reduces to 40.05%, and intake air temperature reduced 19.84°C, which can improve the seed activity.

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Wang, Zheng Shun, Yu Dou, and Chang Jian Zhou. "Studying on Expert Control System Used in the Electromagnetic Drying." Advanced Materials Research 588-589 (November 2012): 1573–76. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1573.

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Starting with single loop, on the base of electromagnetic drying system, simple mathematical model for paper-drying control was studied by experimental modeling and an model for drying loops of dryer was gained. The interrelation among each loops was analyzed, and a bridge among them was set up combing with worker’s experience. The coordinated control between single drying loop and several drying loops under expert control was summarized, and the system design and the program of the whole paper-drying control loops were designed.The studying of the application has shown that expert control is advanced and effective on both equipment and control precision.

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MR., GAVANDI OMKAR S., A.B.KUMBHAR Mr., SALUNKHE SNEHA N. MS., PATIL TEJAS ARUN MR., JARAG VINAYA V. MS., and MAGDUM SANKET B. MR. "AUTOMATIC FOOD DRYING SYSTEM." JournalNX - A Multidisciplinary Peer Reviewed Journal NCMTEE-2K17 (March 26, 2017): 75–77. https://doi.org/10.5281/zenodo.1451404.

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Fruit drying system project mainly based on the drying of the dry-fruits. In today world due to increases of population demand of dry-fruits are increased. So that point of view we need to dry fruit in the short duration. In conventional sun drying process more time is required for the drying of the fruit. So we can use fruit drying system. In this system consist one metal chamber to drying fruit. The air is blown inside the chamber and exhaust fan are placed to air in and out. The nickel chrome coil is used for the heating purpose of the chamber. By using microprocessor we can control all the process like the heating of the coil, sensing of the metal body temperature and the humidity control. The automatic fruit drying system is very applicable for the drying fruit in the short duration of the time. Fruit drying system project is mainly based on the agriculture field. https://journalnx.com/journal-article/20150262

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Di, Shu Yu, and Huan Yu Chi. "Design and Simulation of Automatic Control System for Feed-Drier." Applied Mechanics and Materials 548-549 (April 2014): 990–94. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.990.

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Based on the research on the dynamic changes of the water content in the drying stages of using Alcohol to produce high-protein feed DDGS, advanced intelligent control method is proposed and water content in the feed and the drying time are used as the main control parameter. On the basis of one for there frequency conversion and PLC, intelligent control system for the drier fan is designed to realize the efficient control of quality online detecting and recognition in the drying process. Many problems such as low accuracy, large wastage, high cost and so on are solved and thereby the work efficiency of the drying unit is enhanced. On the basis of simulation, several test-beds were built, and a large number of experimental studies. This system proves to be the most efficient with drying and optimizing the dryer index at the different stages. The calculated results indicate that the drying method has drying efficient and energy saving features.

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Peng, Yuhao, and Tianping Ren. "Design of Heat Exchange System of Sand Core Drying Furnace." Journal of Physics: Conference Series 2083, no. 3 (2021): 032056. http://dx.doi.org/10.1088/1742-6596/2083/3/032056.

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Abstract Heat exchange system is a circulatory drying system on sand core drying furnace. However, there are some shortcomings in the heat exchange system of sand core drying furnace in the current industrial field. For example, the temperature in the drying process is not stable enough, and the optimal temperature control parameters are difficult to choose. In this study, a proportional regulating heat exchange system is designed. The system adopts SIMATIC 1200 programmable logic controller as controller, motor-driven control valve as actuator and back propagation neural network proportion integral differential control algorithm. After sand core drying test, the results revealed that the proportional regulating heat exchange system can realize automatic control of sand core drying temperature and output the optimal combination of heat exchange system control parameters. Compared to the previous heat exchange system, it has better drying temperature control stability.

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Марсов, Вадим Израилевич, Александр Маркович Колбасин, Марина Юрьевна Абдулханова, and Андрей Валентинович Курилин. "Two-channel control system of thermal drying." Automation and Control in Technical Systems, no. 2 (January 4, 2015): 132. http://dx.doi.org/10.12731/2306-1561-2014-2-13.

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Jialun, Chen, Lin Haibo, Wang Jinbao, Wang Guojun, He Caifu, and Xu An. "Structural Optimization and Control System Design for a Rake Dryer." Journal of Engineering System 2, no. 1 (2024): 39–43. http://dx.doi.org/10.62517/jes.202402108.

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Optimization of process parameters and process intelligent control of the production process is an important part of the design and development of drying equipment. This research proposed a new type of jacket and conical screw belt composite heating device dryer, to achieve the material fully turned over, drying layer temperature uniformity, improve the drying efficiency of the material and energy efficiency. We design the humidity and temperature control system of the dryer for the overall design based on the PID, and optimise the drying control method, to ensure that the quality of the material drying, and to improve the automation and production efficiency of the equipment. The study helps to determine the process parameters of the material production process and improve the stability and quality of the product.

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Sytnikov, Oleksii, Denys Skladannyy, Serhii Plashykhin, and Kostiantyn Sokolov. "Comparison the modern controllers’ efficiency for the spray dryer’s control system." Proceedings of the NTUU “Igor Sikorsky KPI”. Series: Chemical engineering, ecology and resource saving, no. 1 (March 29, 2024): 35–41. http://dx.doi.org/10.20535/2617-9741.1.2024.300982.

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Spray drying is one of the widely used drying process in chemical, pharmaceutical, and food industry. This process allows removing water from the product, which is produced in the solution form, and turn the finished product into a flowing powder material. It is obvious that such a process requires a significant amount of thermal energy, which is spent on the water evaporation. In addition, as in any drying process, in spray drying there is a problem with possible material over-drying. Therefore, the task of qualitative regulation of the spray drying process remains relevant. In this article, we attempt to compare the efficiency of two modern controllers for controlling the spray drying process. This is known in the theory of control of dynamic objects using predictive models model predictive controller and a fuzzy controller based on linguistic variables. The regulators choice due to both their popularity and high control quality indicators, which are given in published scientific works. The study was performed on based on spray drying process models, which were obtained in the previous work of the authors. In the research we used the software package MATLAB Simulink for control systems simulation. The research result show, that using the MPС-controller in the spray dryer’s control system allow to reduce the transient processes time. However, in case of a fuzzy controller, the control system partially levelling the mathematical model’s inaccuracy.

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Zhang, Xue, Ya Qiu Liu, and Qian Long Zhang. "The Distributed Control of Multi-Kiln Wood Drying Environment Based on Multi Agent System." Advanced Materials Research 466-467 (February 2012): 469–73. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.469.

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This paper introduces the basic performances of the multi-agent system. And according to the wood drying kiln distributed characteristics and the actual requirements of the wood drying factory, apply Multi-Agent System to the control of the wood drying; establish a multi-agent control system with the hierarchical control method. The system efficiently achieves the distributed control environment of the wood drying. And discuss about the real-time agent’s hardware structure in detail. Meanwhile apply the fuzzy theory to real-time intelligent agent’s software algorithm. And use it on the simulation experiment. Experimental results show that this method can improve the overall efficiency of the system. Application with this method in wood drying control is advanced.

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Chen, Lin, and Xue Song Tai. "The Design and Test for the Intermittent Work-Style Drying System." Advanced Materials Research 490-495 (March 2012): 1728–32. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1728.

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In order to improve the quality of microwave drying, we propose the microwave drying temperature control system which consists of microcontroller (AT89S52), temperature sensors (DS18b20) and other electronic components. The system can monitor the real-time temperature of the drying chamber and can control the drying process automatically , let the temperature cannot out of the permitted range(control the extent permitted automatically), these processes ensure the quality of the dried crop. The results shows that crops using the system are better than those that not used（using）. These tests proved (prove) that the microwave temperature control system can achieve its designed function.

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Mulianda, P., K. Fahmy, and Andasuryani. "Design of Green Tea Drying System Using Smoke and Temperature Sensors Based on Microcontroller." IOP Conference Series: Earth and Environmental Science 1059, no. 1 (2022): 012022. http://dx.doi.org/10.1088/1755-1315/1059/1/012022.

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Abstract The green tea drying process still uses wood as its fuel because it can reduce production costs. However, the smoke produced by the bottom firewood enters the drying chamber, thus affecting the quality of the green tea produced. Therefore, it is necessary to have a drying system that can detect and control the smoke entering the drying chamber and control the temperature during the drying process. The tea drying system is designed using a smoke sensor and a temperature sensor based on a microcontroller. This system is also equipped with an RH sensor that can monitor the RH value during the drying process. From the device performance test results, it was found that the system designed can control the smoke and temperature in the drying chamber to be applied to the green tea drying process in tea factories.

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Siregar, Ratu Mutiara, Budi Mulyara, Rahmad Dian, Maisarah Maisarah, Muhammad Akbar Syahbana Pane, and Andi Prayogi. "DESIGN OF CONTROL SYSTEM AND TEMPERATURE IN COFFEE DRYER ARDUINO BASED AUTOMATIC USING FUZZY." JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) 10, no. 3 (2025): 634–42. https://doi.org/10.33480/jitk.v10i3.6166.

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The coffee bean drying process is a crucial stage in ensuring the final quality of coffee products. Conventional drying methods, which rely on sunlight, face several challenges, such as dependence on weather conditions and prolonged drying times. This study proposes the design of a control and temperature system for an automatic coffee dryer based on the Arduino Mega 2560, aimed at enhancing the efficiency and consistency of the drying process. The system utilizes a semi-enclosed drying technology equipped with DHT22 temperature and humidity sensors, controlled by Arduino-Uno and Fuzzy Logic. This control system monitors temperature and humidity in real-time, maintaining the drying conditions at 55°C and 15% RH. If the temperature or humidity exceeds the set limits, the system activates an LED and buzzer alarm, indicating that the drying process has reached optimal conditions. The prototype was tested under various conditions, and the results demonstrate that the system has a high accuracy level in controlling temperature and humidity, significantly accelerating the drying process compared to traditional methods. By implementing this technology, the coffee industry in Indonesia is expected to achieve the Coffee Drying Operational Standards in accordance with SNI, maintain flavor quality, optimize the use of drying land, and reduce drying duration. This development offers an innovative solution that can enhance the quality and productivity of coffee processing, providing significant economic benefits to farmers and coffee industry stakeholders.

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Mochalov, L. V., and V. G. Drozdov. "TECHNOLOGICAL FEATURES OF AUTOMATIC CONTROL OF LONG FIBRE PRODUCTION." Technologies & Quality, no. 1 (2020): 3–6. http://dx.doi.org/10.34216/2587-6147-2020-1-47-3-6.

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Machines for producing flax fibre as automatic control objects are described in this article. Versions of control of drying machine by control of amount of supplied heat, intensity of replacement of spent drying agent with fresh one, change of drying agent speed in drying region, change of material movement speed in drying space are considered. It is shown that what is the most rational way of controlling the moisture of retted straw is the way that uses a closed control system with negative feedback. The block diagram of the automatic drying control system that acts on the control object, in this case on the dryer, through the actuator, in order to reduce the amount of humidity deviation depending on the amount and the sign of deviation, is developed.

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Atmawarni, Profitri. "Design of an Automatic Clothes-Drying System System Based on Arduino." Jurnal Indonesia Sosial Teknologi 6, no. 2 (2025): 923–40. https://doi.org/10.59141/jist.v6i2.8945.

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Drying is essential when it is needed. One example of a drying system can be seen on clothing. It aims to enable this system to work without seeing the weather conditions. The system design uses the DHT22 sensor to get the temperature and humidity values, heater and fan, and the Blynk application on Android to know the temperature, humidity, and active or not heater and fan values. The study aimed to create a system that functions independently of weather conditions, offering an efficient drying process. The methodology involves using an Arduino Uno, a DHT22 sensor, a WiFi ESP8266 module, and a 1500-watt heater to control the drying environment. The tests were conducted in various weather conditions, comparing manual, heating-based, and light-based drying systems. The results showed that the automated system significantly reduced the drying time, with an average drying time of 1:30:32 compared to 8:16:23 for manual drying. In addition, the system maintains consistent performance regardless of external conditions. The findings show that the automatic drying system substantially increases efficiency and energy consumption. In conclusion, the automated system effectively overcomes the limitations of manual drying, offering a reliable solution for both domestic and industrial applications. The implications of this research extend to the development of more brilliant household appliances, contributing to energy conservation and the adoption of automated systems in everyday tasks.

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Catania, Pietro, Raimondo Gaglio, Santo Orlando, Luca Settanni, and Mariangela Vallone. "Design and Implementation of a Smart System to Control Aromatic Herb Dehydration Process." Agriculture 10, no. 8 (2020): 332. http://dx.doi.org/10.3390/agriculture10080332.

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Drying is a process aimed at reducing the water content in plant materials below a limit where the activity of microbes and decomposing enzymes deteriorate the quality of medicinal and aromatic plants. Today, the interest of consumers towards medicinal and aromatic herbs has registered a growing trend. This study aims at designing a low-cost real-time monitoring and control system for the drying process of aromatic herbs and evaluating drying efficacy on the microbial community associated with the studied herbs. Hot-air drying tests of sage and laurel leaves were carried out in a dryer desiccator cabinet at 40 °C and 25% relative humidity using three biomass densities (3, 4 and 5 kg/m2). The prototype of the smart system is based on an Arduino Mega 2560 board, to which nine Siemens 7MH5102-1PD00 load cells and a DHT22 temperature and humidity sensor were added. The data acquired by the sensors were transmitted through Wi-Fi to a ThingSpeak account in order to monitor the drying process in real time. The variation in the moisture content of the product and the drying rate were obtained. The system provided a valid support decision during the drying process, allowing for the precise monitoring of the evolution of the biomass moisture loss and drying rate for laurel and sage. The three different biomass densities employed did not provide significant differences in the drying process for sage. Statistically significant differences among the three tests were found for laurel in the final part of the process. The microbial loads of the aromatic herbs after drying were influenced by the different leaf structures of the species; in particular, with laurel leaves, microbial survival increased with increasing biomass density. Finally, with the drying method adopted, the two species under consideration showed a different microbial stability and, consequently, had a different shelf life, longer for sage than laurel, as also confirmed by water activity (aw) values.

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Jia Heming, Song Wenlong, Wang Haitao, and Yang Xin. "Immune PID Algorithm of Wood Drying Control System." International Journal of Advancements in Computing Technology 4, no. 9 (2012): 248–58. http://dx.doi.org/10.4156/ijact.vol4.issue9.29.

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KONDO, Yoshio. "A Drying System Using Wavelength Control Infrared Heater." Journal of the Surface Finishing Society of Japan 66, no. 7 (2015): 300–304. http://dx.doi.org/10.4139/sfj.66.300.

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Wolszczak, Piotr, and Waldemar Samociuk. "The control system of the yeast drying process." MATEC Web of Conferences 241 (2018): 01022. http://dx.doi.org/10.1051/matecconf/201824101022.

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The article presents the results of choosing how to control a real non-linear object. Yeast drying requires a precise temperature control due to the possibility of overheating. The object changes properties during of the process flow. Object identification is used and a mathematical model is developed. The model is used to select roboust control methods. The results are compared to the system of two PID regulators used in practice.

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Sereda, T. G., and S. N. Kostarev. "Development of automated control system for wood drying." Journal of Physics: Conference Series 1015 (May 2018): 042022. http://dx.doi.org/10.1088/1742-6596/1015/4/042022.

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Li, Changyou, Hua Ban, and Wenhao Shen. "Self-Adaptive Control System of Grain Drying Device." Drying Technology 26, no. 11 (2008): 1351–54. http://dx.doi.org/10.1080/07373930802333437.

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Martynenko, A. I. "Computer-Vision System for Control of Drying Processes." Drying Technology 24, no. 7 (2006): 879–88. http://dx.doi.org/10.1080/07373930600734067.

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Stawczyk, J., J. Comaposada, P. Gou, and J. Arnau. "Fuzzy Control System for a Meat Drying Process." Drying Technology 22, no. 1-2 (2004): 259–67. http://dx.doi.org/10.1081/drt-120028232.

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Fauzan, Yusril, and Kartika Kartika. "Moringa Leaf Dryer Oven System Using Fuzzy Logic Method." International Journal of Engineering, Science and Information Technology 3, no. 1 (2023): 15–21. http://dx.doi.org/10.52088/ijesty.v3i1.405.

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Moringa trees are often planted as living fences and along rice fields or paddy fields, and they also function as green plants. In addition, Moringa leaves are also known as an efficacious medicinal plant by utilizing all parts of the Moringa plant, starting from the bark, seeds, and leaves to the roots and undergoing processing operations such as drying, wilting and enzymatic oxidation. The processing of Moringa goes is carried out with a drying process that aims to speed up the processing of Moringa leaves. Tests on drying Moringa leaves are carried out in 2 ways, namely drying without using controls and drying using fuzzy rules, then, from the two tests, a comparison will be made, and conclusions will be drawn. This drying was carried out to determine how much weight loss was in dried Moringa leaves using fuzzy control with a temperature of 60 °C. The overall test results for Moringa leaves were carried out with two tests. Namely, the same results will be obtained from 180-gram Moringa leaves at 60°C and 180-gram Moringa leaves at 50°C. Temperature and time with a decrease in the percentage of age by 50% using fuzzy control. This system is supported by a type k thermocouple temperature sensor, load cell sensor, tubular heater, fan, solid state relay, keypad, I2C LCD, and Arduino mega. Two input variables must be controlled in a fish dryer: temperature and weight. At variable temperatures, the input is a type k thermocouple sensor. The output is an SSR that controls the tube heater so that the temperature of the fish dryer matches the set-point temperature. The fuzzy logic method controls the temperature when drying fish does not exceed the set point temperature.

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Hasan, Syaiful, Amalia Herlina, and Muhammad Hasan Basri. "Prototipe Perancangan Control System of Corn Dryer Machine Dengan Mikrokontroler." Buletin Ilmiah Sarjana Teknik Elektro 1, no. 3 (2019): 108. http://dx.doi.org/10.12928/biste.v1i3.1099.

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Selama ini masyarakat di Indonesia melakukan pengeringan jagung dengan cara konvensional, yaitu dengan cara menjemur langsung di bawah sinar matahari. Selain tidak efektif cara tersebut juga sangat bergantung pada cahaya matahari. Oleh karena itu, penelitian ini mengusulkan tentang mesin pengering jagung dengan menggunakan mikrokontroler dan pengendali PID agar pengeringan dapat berjalan dengan maksimal. Selain itu alasan pembuatan alat ini adalah agar pengeringan biji jagung dapat terus berjalan tidak bergantung pada cahaya matahari. Untuk mencapai kondisi jagung yang sesuai standar pengeringan yaitu 14%, diperlukan sensor SHT11 untuk mendeteksi kadar air yang ada pada jagung. Untuk pemanas menggunakan 5 elemen pemanas serta exhaust fan sebagai penghantar panas. Pengaturan kelembaban menggunakan set point yang ada pada mikrokontroler. Berdasarkan pengujian, alat dapat berjalan dengan baik dan memiliki keunggulan waktu yang pengeringan yang lebih pendek daripada metode konvensional. Hasil pengujian diperoleh hasil bahwa nilai rata-rata MEA (Mean Absolute Error) adalah 0,611% dan rata-rata RMSE (Root Mean Square Error) adalah 0,687%, Time Constan = 55 detik, Rise Time = 6,95 detik dan Setting Time = 164,45 detik pada set point RH 21,5%.So far, people in Indonesia are drying corn in a conventional way, namely by drying directly in the sun. Besides being ineffective, this method is also very dependent on sunlight. Therefore, this study proposes a corn drying machine using a microcontroller and PID controller so that drying can run optimally. Besides that, the reason for making this tool is that the drying of corn kernels can continue without dependence on sunlight. To achieve the conditions of corn in accordance with the drying standard of 14%, the SHT11 sensor is needed to detect the moisture content in corn. For heaters use 5 heating elements and exhaust fans as heat conductors. Humidity regulation using the setpoint that is on the microcontroller. Based on testing, the tool can run well and has the advantage of shorter drying time than conventional methods. The test results obtained that the average value of the MEA (Mean Absolute Error) is 0.611% and the average RMSE (Root Mean Square Error) is 0.687%, Time Constant = 55 seconds, Rise Time = 6.95 seconds and Setting Time = 164.45 seconds at 21.5% RH setpoint.

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Han, Feng, Chun Cheng Zuo, Hang Zhu, Wen Fu Wu, and Chun Shan Liu. "The Establish of Digital Simulation System on Continuous Cross-Flow Dryer." Advanced Materials Research 430-432 (January 2012): 1759–63. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.1759.

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Drying plays an important role in the post-harvesting process of grain, and the quality of the corn after drying has received an increasing concern. The mathematical model of grain drying plays an essential role in developing grain dryer structure and obtaining the drying technological parameters. Furthermore, an accurate mathematical model is a reference for automated control during drying process. In this paper, using mathematical models and quality model of the corn drying process, a digital simulation of corn drying machine system based on a virtual instrument was established for 5HSZ dryer. Finally, an on-line measurement and automated control software of grain parameters were developed providing the changes of moisture, temperature, humidity, and germination rate in the process of drying. The experimental results show that the simulation result is valid, which has practical merit of operation and technical optimization of dryer.

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Saakian, Alexander. "Investigation of the possibility of regulation and automatic optimization of the control system of a chamber grain dryer." АгроЭкоИнфо 4, no. 46 (2021): 6. http://dx.doi.org/10.51419/20214406.

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The regulation of the coolant speed during convective drying in a stationary grain layer allows the maximum use of the amount of heat energy for drying the material. The paper presents the results of a study of the regulation of the coolant speed on an experimental drying plant for use in the automatic control system of a chamber grain dryer. The article also discusses the issues of energy saving efficiency in drying chambers. The possibility of automatic control of the main parameters control system using a microcontroller is analyzed. Keywords: DRYING MODES, DRYING ZONE, AUTOMATIC CONTROL, TEMPERATURE CONTROLLER, FAN, OPTIMIZATION, MICROCONTROLLER, FREQUENCY CONVERTER

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Ren, Hong E., Long Chen, and Ji Feng Guo. "Study on Wood Drying Based on Neural Network and Expert System." Key Engineering Materials 467-469 (February 2011): 1164–69. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1164.

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Wood drying is a complicated non-linear process that is lagged,time-variable and coupling. For them,it is difficult to build up ideal drying model,which is corresponding to reality.The paper put forward the drying method of vacuum dehumidification.This drying method is based on neural network and expert system. The test results showed that the control method were better than traditional PID control.The control system could meet requirement of precision and a fast convergence and small overshoot.

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Mabvuu, N., L. Nyanga, A. F. van der Merwe, S. Matope, and S. Mhlanga. "Towards the Emplementation of E-Manufacturing: Design of a Automatic Tea Drying Control System." South African Journal of Industrial Engineering 25, no. 3 (2014): 199–211. https://doi.org/10.5281/zenodo.2551008.

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Many of the production costs for producing tea are attributable to the process of drying the tea. E-manufacturing can assist companies to reduce these production costs by making crucial information available to decision-makers so that they can make informed decisions. This paper presents an application of e-manufacturing to the design of an automatic tea drying control system. This control system will ensure that the multiple drying parameters such as temperature, dryer-exit tea moisture content, and fuel consumption are maintained at optimal states during the course of the drying of tea. The additional aim of this system is to balance the cost of production and the quality of the final product. Using the Guggenheim-Anderson-De Boer (GAB) model, the optimum drying temperature was found to be 100-110°C, while maintaining a dryer-exit tea moisture content of 3 to 3.12 per cent, at a drying rate of 3 per cent per minute. A Barix control application to control the system’s activities, using the web user interface (WUI), was also developed

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Yang, Taoqing, Xia Zheng, Hongwei Xiao, et al. "Drying Temperature Precision Control System Based on Improved Neural Network PID Controller and Variable-Temperature Drying Experiment of Cantaloupe Slices." Plants 12, no. 12 (2023): 2257. http://dx.doi.org/10.3390/plants12122257.

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A drying temperature precision control system was studied to provide technical support for developing and further proving the superiority of the variable-temperature drying process. In this study, an improved neural network (INN) proportional–integral–derivative (PID) controller (INN-PID) was designed. The dynamic performance of the PID, neural network PID (NN-PID) and INN-PID controllers was simulated with unit step signals as an input in MATLAB software. A drying temperature precision control system was set up in an air impingement dryer, and the drying temperature control experiment was carried out to verify the performance of the three controllers. Linear variable-temperature (LVT) and constant-temperature drying experiments of cantaloupe slices were carried out based on the system. Moreover, the experimental results were evaluated comprehensively with the brightness (L value), colour difference (ΔE), vitamin C content, chewiness, drying time and energy consumption (EC) as evaluation indexes. The simulation results show that the INN-PID controller outperforms the other two controllers in terms of control accuracy and regulation time. In the drying temperature control experiment at 50 °C–55 °C, the peak time of the INN-PID controller is 237.37 s, the regulation time is 134.91 s and the maximum overshoot is 4.74%. The INN-PID controller can quickly and effectively regulate the temperature of the inner chamber of the air impingement dryer. Compared with constant-temperature drying, LVT is a more effective drying mode as it ensures the quality of the material and reduces the drying time and EC. The drying temperature precision control system based on the INN-PID controller meets the temperature control requirements of the variable-temperature drying process. This system provides practical and effective technical support for the variable-temperature drying process and lays the foundation for further research. The LVT drying experiments of cantaloupe slices also show that variable-temperature drying is a better process than constant-temperature drying and is worthy of further study to be applied in production.

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İjabika Sardarova, Sarkhan Gojayev, İjabika Sardarova, Sarkhan Gojayev, and Rashid Aliyev Rashid Aliyev. "CONTROL MODEL OF THE NATURAL GAS PURIFICATION PROCESS." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 46, no. 11 (2024): 140–49. https://doi.org/10.36962/pahtei46112024-16.

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The equipment used in the processes of cleaning and drying natural gas for transportation and consumption and the methods applied for drying gas were comparatively analyzed, it was noted that the absorption method is more widespread among these methods due to its simplicity and efficiency, it was shown that drying gas should be carried out immediately after its cleaning from mechanical and other impurities so that during the transportation and use of gas, there are no blockages in pipelines, malfunctions in measuring devices and other gas equipment. Drying gas prevents the formation of hydrates in pipes due to condensation during transportation and increases the heat-generating capacity of gas by burning it well. The characteristics of the liquid absorbent used to dry gas in the absorption process - the absorbent, being regenerated and returned to the gas drying process were investigated, and the parameters and quality indicators affecting the technological process were determined for optimal control of the gas drying technological process at normal temperature and pressure for that process, as well as the output parameters of the gas drying unit. It was noted that although the pneumatic control system is considered morally obsolete, some elements and devices of this system, in particular, pneumatic actuators, are distinguished by their reliability in mining and field conditions. Therefore, it is advisable to use them in modern control systems with controllers. For this purpose, the structure of the general control system of the process, the information model of the control object was built, the input and output parameters, the limiting conditions for reflecting the exciting and controlling effects in the structure of the mathematical model were determined, and the limit ranges containing the minimum and maximum values of each parameter were determined. The control problem can also be formulated and solved as a problem of stabilizing productivity or another parameter. An optimal control model of the gas drying process was built, and the optimization criterion was selected. In the problem of optimizing the technological process of gas drying, the maximum productivity of the plant was adopted as the main criterion, and the humidity of the gas was adopted as the limiting condition. Several recommendations are given for solving this problem. Keywords: gas drying, absorbent, control system, optimal control, model.

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Sindy Yurisma Sheila, Rama Arya Sobhita, Anggara Trisna Nugraha, and Rachma Prilian Eviningsih. "Coffee Drying Tool with LQR-PID Control." MEIN : Journal of Mechanical, Electrical & Industrial Technology 1, no. 2 (2024): 18–23. http://dx.doi.org/10.35991/mein.v1i2.6.

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Indonesia ranks as the third largest coffee bean producer globally due to its favorable climate for coffee cultivation and production. The drying process is one of the crucial stages in coffee bean processing as it significantly impacts the bean's quality. This study focuses on optimizing the drying process through the implementation of a sun tracking system mechanism. In essence, a sun tracking system is employed to maximize sunlight exposure by controlling the tray's position to constantly align with the sun's movement. The constructed system comprises both mechanical and electrical components. The control methods utilized in this system involve LQR and PID control. Experimental results will be analyzed to determine which controller yields the best performance.

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Lukin, S. A., A. V. Kaychenov, V. V. Ereschenko, and I. Yu Selyakov. "Modernization of small-sized drying plant for searching optimal modes with thermovision control." Vestnik MGTU 27, no. 3 (2024): 447–57. http://dx.doi.org/10.21443/1560-9278-2024-27-3-447-457.

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The climatic features of the Murmansk region (low average annual temperature; insignificant number of sunny days) do not contribute to the effective use of natural methods of drying aquatic organisms and determine the use of artificial dehydration methods using appropriate equipment. The capabilities of ship fish processing complexes are limited; highly productive coastal fish processing plants are required to supply the population with fish products. The development and testing of new drying modes has been carried out using a small-sized drying unit UPOR-M2. In the course of the study, a drying unit modernization project has been developed, equipment has been selected (thermal imaging system; damper and fan control modules), the system has been modernized and a number of experiments has been conducted to determine the effectiveness of the work performed. The modernization of the drying unit has made it possible to increase the accuracy of the data obtained by 25 % (temperature), 20 % (relative humidity), 18 % (weight), to implement remote control of the processes and to ensure reliable operation of the drying system. Further research of different drying modes for aquatic organisms should include upgrading the air supply control system and improving communication equipment.

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Situmorang, Zakarias, and Retantyo Wardoyo. "Extended Fuzzy Rule Suram for Coffee Drying System." American Journal of Multidisciplinary Research and Innovation 2, no. 1 (2023): 9–21. http://dx.doi.org/10.54536/ajmri.v2i1.1138.

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Extended fuzzy rule Suram is an algorithm developed to control a drying system using diesel as an energy source by modifying the value of the fuzzy membership function {0.5,1]. For a coffee drying room control system with solar energy, the bleak rule is based on fuzzy logic with variables of weather, air condition and wind speed. This algorithm is applied to the coffee drying process. The state variable membership function is represented in error values and changes in error with a typical triangular and trapezoidal map for weather variables, air conditions, while wind speed is expressed in terms of wind speed. The results of the analysis of experiments with 16 fuzzy rules to control system output according to weather conditions obtained optimization of the use of solar energy by minimizing the use of electrical energy by heating. This algorithm also adjusts the coffee drying schedule by controlling the chamber, namely through temperature and humidity control. The results of the application of this algorithm show that the efficiency of electrical energy reaches 40,86%.

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Wang, Shi Jun. "Human-in-the-Loop Intelligent Control System for Continuous-Flow Grain Drying." Advanced Materials Research 383-390 (November 2011): 1273–78. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1273.

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Moisture content is one of the key controlled variables in grain drying processes. However, this variable cannot or is difficult to be controlled accurately, due to grain drying is a nonlinear process with multi-variables and long delay. To solve this problem, the study is focused on a new intelligent control system for continuous-flow dryer. Based on the manual control idea for controlling the outlet moisture content, a nonlinear process intelligent control algorithm is presented, a human-in-the-loop intelligent control model for grain drying is developed, a system of software structure based on Visual Basic 6.0 is designed.

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Nguyen, V. V., A. A. Shilin, V. G. Bukreev, F. V. Perevoshchikov, and A. A. Bryantsev. "Synthesis of Regulators of the Drying Plant Control System Based on Statistical Data." Proceedings of Tomsk State University of Control Systems and Radioelectronics 24, no. 2 (2021): 56–63. http://dx.doi.org/10.21293/1818-0442-2021-24-2-56-63.

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In the article a method to carry out a synthesis of regulators of the drying plant control system is considered based on the integration of known statistical data by the Lagrange polynomial. An algorithm to correct the parameters of regulators in problematic modes of operation of the drying plant is proposed. It is shown that the control system developed and implemented on the PLC provides stable control of temperature and humidity during the drying of materials

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Arifin, Mohammad Aldrin, Porman Pangaribuan, Brahmantya Aji Pramudita, and Prisma Megantoro. "Controlling temperature using proportional integral and derivative control algorithm for hybrid forced convection solar dryer." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 239. http://dx.doi.org/10.11591/ijece.v14i1.pp239-247.

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Drying is one of the crucial processes in agricultural production, especially in grain processing. The drying process can improve grain quality and affect the grain content. However, maintaining the temperature is a challenge in the drying process. Because it can influence the drying performance and produce a low-efficiency reduction of water content, in this study, the hybrid drying system is proposed to improve the performance of the forced convection dryer system. The proposed system used a proportional integral and derivative (PID) control system to obtain the optimal temperature. The proposed system was compared with natural drying and forced convection methods. The experimental result showed that the proposed system performed excellently for three performance evaluations. The average temperature was obtained as the highest of the other methods, with 54.68 °C and 54.55 °C for coffee and cocoa beans. The water content can be reduced by an average of 27.38% and 42.67% for coffee and cocoa beans. Then, the proposed system also had the highest reduction efficiency of water content than the other methods, with 62.71% and 36.94% reductions for coffee and cocoa beans, respectively. The results indicate that the proposed hybrid system performs better than the other methods.

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Rahardi, Gamma Aditya, Widjonarko Widjonarko, and Satryo Budi Utomo Utomo. "Design of Rice Dryer Automation System Using Fuzzy MIMO Method." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 5, no. 1 (2022): 19–24. http://dx.doi.org/10.26740/inajeee.v5n1.p19-24.

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Rice is one of the most important cultivated plants in human civilization. One of the most important post-harvest processes is drying. Therefore, we need a drying process with an artificial heat source that can be adjusted to achieve constant heat according to the temperature characteristics of the rice. By applying the Fuzzy-MIMO control system, rice drying is expected to work quickly without damaging the rice foam. Fuzzy-MIMO system is translated into a rule based on the fuzzy algorithm that has been created. The fuzzy-MIMO method used is the Sugeno method with input temperature errors and humidity errors and outputs in the form of heat and wind gusts. The temperature sensor used has an error factor of 3.61%. The expected control system is a heating system and a motor to regulate the wind gusts in the drying chamber. The total drying time produced is 240 seconds with a moisture content of 15.2%. Drying time is influenced by the initial moisture content of rice.

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Fedotova, M. O., D. V. Trushakov, I. A. Berezyuk, I. O. Skrynnik, and R. S. Zavoruyev. "Stages of synthesis of the automatic control system of a fluidized bed dryer." System technologies 4, no. 159 (2025): 11–18. https://doi.org/10.34185/1562-9945-4-159-2025-02.

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Fluidized bed is one of the most effective methods of drying dispersed materials, which provides intensive heat and mass transfer and allows achieving high productivity with minimized energy costs. Due to the intensive contact between the material and the drying agent, the drying process in such installations occurs very quickly. The undeniable advantages of this method are: high drying speed, its uniformity due to the correct distribution of heat and moisture, which prevents overdrying or underdrying. This method is suitable for drying a wide range of materials, including powders, granules, crystals and other finely dispersed materials. In fluidized bed dryers, it is quite easy to control temperature, air velocity and other process parameters, which allows you to achieve optimal results. And because the material is in a suspended state, the risk of mechanical damage is reduced. These advantages make fluidized bed drying an important process in many industries, including food, pharmaceutical, chemical and others. The implementation of automated control systems (ACS) plays a key role in achieving process stability. At the same time, the fluidized bed itself is a dynamic system where the behavior of the material depends on many factors, such as air velocity, particle size, humidity and temperature. This makes process control difficult, as even small changes in one parameter can lead to significant changes in others due to existing cross-links. This work is a generalization in the planning of the ASA synthesis method by the process of drying sunflower seeds in a fluidized bed grain dryer, which is a complex dynamic multidimensional object with a delay. Moreover, the stages of synthesis take into account the design features of the dryer, its operation in various modes, in particular in the stabilization mode, and the situation with the impossibility of measuring the output signals of the object in full. All stages of the synthesis of ACS by the drying process in a fluidized bed dryer are built on the application of the basic principles of the modern theory of automatic control of complex technological processes.

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Zhao, Wu Yun, Qiang Fei, Jie Yang, and Fei Dai. "Design of 5HZL-1200 Type Maize Ear Vertical Drying System." Applied Mechanics and Materials 456 (October 2013): 571–75. http://dx.doi.org/10.4028/www.scientific.net/amm.456.571.

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Corn grain drying not only required high productivity, but also guaranteed the quality of the dry ear after good. Consequently, we design 5HZL-1200 type maize ear vertical drying system, the control part of which was corn grain drying monitoring system developed on the kingview. It overcomed the problem of low efficiency of seeds drying, artificial error and so on. The experimental results of using the vertical drying system for corn grain drying experiment showed that adopting vertical type of drying made its drying time 21h shorter than that of flat drying,moreover, the precipitation rate was increased on average by 42.8%, the operation cost was saved of 36. 8%, and corn grain crushing rate was reduced by 2.2%. the system had proved to have a series of characteristics, including high thermal efficiency, small occupied area, good drying quality, low unit cost , and high automation, etc.

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Yu, Li Jun, Jing Guang Sun, Jia Chen, and Hui Wang. "The Application of CFD in Wood Drying Kiln System Identification." Applied Mechanics and Materials 391 (September 2013): 386–89. http://dx.doi.org/10.4028/www.scientific.net/amm.391.386.

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As wood drying kiln system has the nonlinear characteristics of a large lag, multivariable, large inertia and strong coupling. It is difficult to establish an accurate mathematical model of the wood drying kiln system by using traditional mathematical Modeling method. The data of wood drying kiln is drawn by CFD-Fluent, and the translate function of the control system is obtained by Matlab system identification. The simulation results show that the method has good accuracy, and can meet the control requirements of the system.

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S.V, ARAWAT, SHAIKH MUNAF, PEERZADE ALEEM, CHOUDHARY MUZZAMMIL, and KAMBLE VISHAL. "SOLAR AIR HEATING SYSTEM FOR PRODUCTION OF RAISINS." IJIERT - International Journal of Innovations in Engineering Research and Technology NITET-18 (March 17, 2018): 71. https://doi.org/10.5281/zenodo.1453567.

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Drying crops by solar energy is of great economic importance the world over,especially in India where most of the crops and grain harvests are lost to fungal and microbial attacks. These wastages could be easily prevented by proper dryi ng,which enhances storage of crops and grains over long periods of time. India is blessed with abundant solar energy all the year round. Drying is one of the important and most energy consuming processes in the food processing,chemical,printing,fabric dying industries,etc.,In farmer level drying is being done on open yards without any good hygienic conditions. Generally thermal energy,maintained between 45 0 C to 25 0 C depending on the products and production methods. That energy is being produced by a conventional fuel like electricity,firewood,diesel,furnace oil,kerosene,etc. The objective of this project is to modify design of a forced convection indirect solar dryer and its performance test on Grapes. The system consists of an air heating section. The solar air dryer consists of different components such as Solar Collector Plate,Air Blower and insulating hot air Duct and its life is approximate 20 years. It of fers a better control over drying and the product obtained is of better quality than sun drying. Solar Dryer Can be operated at higher temperature,recommended for deep layer drying. It is also Highly recommended for photo - sensitive substance. https://www.ijiert.org/paper-details?paper_id=141250

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Han, Feng, Chuncheng Zuo, Wenfu Wu, Junxing Li, and Zhe Liu. "Model Predictive Control of the Grain Drying Process." Mathematical Problems in Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/584376.

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Drying plays an important role in the postharvesting process of grain. To ensure the quality of the dried grain and improve the intelligent level in drying process, a digital simulation of corn drying machine system based on a virtual instrument was established for 5HSZ dryer, automatically control the air temperature, and predict the discharging speed of grain and so forth. Finally, an online measurement and automated control software of grain parameters were developed to provide the changes of moisture, temperature, humidity, and germination rate in the process of drying. The study carried out in the actual processing showed that it can meet the requirements of the actual drying operation, effectively control the stability of the grain moisture, and keep the dry food quality.

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Vijayanandh, D., V. M. Sivakumar, and M. Thirumarimurugan. "Design of Control System for a Pineapple Drying Process." Asian Journal of Research in Social Sciences and Humanities 6, no. 10 (2016): 797. http://dx.doi.org/10.5958/2249-7315.2016.01053.4.

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Yu, Ge. "PLC Control System of Microwave Drying Apparatus on Honeysuckle." Advance Journal of Food Science and Technology 9, no. 2 (2015): 146–49. http://dx.doi.org/10.19026/ajfst.9.1950.

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Nagaya, K., Y. Ando, Ying Li, Z. Jin, M. Fukumuro, and A. Akaishi. "Low Temperature Desiccant Food Drying System and Its Control." Proceedings of Conference of Hokkaido Branch 2003.43 (2003): 226–27. http://dx.doi.org/10.1299/jsmehokkaido.2003.43.226.

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