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Citations
... Автоматизация технологических процессов с использованием PID-контроллера на базе микрокомпьютера, описываемая в работах [30][31], является не просто полезной, но и незаменимой в предлагаемых случаях, когда необходимо учитывать большое количество параметров технологического процесса и максимально точно их поддерживать в пределах задаваемых величин. ...
Introduction. Induction heating is a preferred heating technique for industrial, medical and consumer systems, because it has a number of advantages over traditional heat transfer methods. The advantages include energy efficiency, heating rate, safety of operation, cleanliness of the process, low metal consumption, simple design, and precise control of the temperature of the heated raw materials. An induction heating unit is especially important for farms involved in processing of milk and producing milk-based products. Aim of the Study. The study is aimed at developing a prototype unit for long-term pasteurization of milk using a container heated by induction currents and at selecting optimal operating conditions for the developed prototype unit. Materials and Methods.There was used 3D modeling in the KOMPAS-3D computeraided design system to develop the main components of a milk pasteurization prototype unit with induction heating. The container for raw materials, stirrer and lid are made of stainless steel AISI 304 and AISI 430. The inductor is a frame made of polymer material with a litz wire arranged in a spiral manner. The body of the prototype unit is made of aluminum composite material. The developing and debugging of the electronic circuit of the prototype unit power part was carried out with the use of the design program Proteus 7.10. The microcontroller Mega 2560 was used to make the power part of the electromagnetic induction generation unit. The controlled temperature was monitored by using the waterproof temperature sensor DS18B20. A thermal imager was used to visualize the propagation of the thermal field over the surface of the container walls. Results. The structure diagram of the developed prototype unit with induction heating for long-term pasteurization of milk is presented. The article gives grounds to the use of the necessary elements and actuators in the unit for pasteurization of milk in a container heated by induction currents. There are presented a diagram of the developed power part for the prototype unit and the results of testing it when heating containers made of various materials. An algorithm has been developed to control the operation and PID regulation of the milk pasteurization in an experimental unit with the use the Raspberry Pi microcomputer. The graphs of transient processes when changing the coefficients of PID temperature control are presented. Discussion and Conclusion. When testing the induction heating principle on stainless steels of different compositions, it has been concluded that for the efficiency of heating the container, there is required a ferromagnetic steel pad welded on top of the main container made of food-grade stainless steel. The developed system of inductors made it possible to create a prototype unit with two heating zones depending on the volume of processed raw materials that is important for small farms engaged in processing milk and producing milk-based products.
... The heater is an important piece of equipment in the industrial process, especially in the chemical industry, to improve product quality and process efficiency. The Stirred Tank Heater (STH) is omnipresent in the chemical industry for producing new materials through batch reactions (Septiani et al. 2017). The STH is mainly used for varying the fluid temperature inside the tank. ...
The chemical production process is tedious due to the integration of different types of equipment and variables. Designing the controller is crucial in the chemical industry due to the interactive and non-linear system behaviour. An intelligent autonomous controller can improve the operating efficiency of the industry. Although several controllers have been developed, different system failures are frequently reported. Hence, controllers such as proportional integral derivative (PID), fuzzy logic controller (FLC), and hybrid fuzzy PID (F-PID) applied in the chemical industries are critically reviewed in the paper. Initially, the PID controller-based approaches are reviewed for different purposes in the chemical industry. After that, the FLC-based controllers-based papers are reviewed. In order to satisfy the issues in both controllers, the H-PID controllers have been reviewed. This review paper will provide an effective solution for operation control in the chemical industry under different operating conditions.
... Masalah yang sering dihadapi dalam proses tersebut adalah keakuratan suhu pada tangki pemanas. Maka dari itu, dibutuhkan sebuah pengendali [1]. Pengendali PID merupakan salah satu jenis pengendali yang paling banyak digunakan 90% industri karena skema kendali lanjutan yang sederhana, fungsionalitas yang jelas, kemudahan penerapan dan penggunaan yang disediakan oleh sistem kendali ini [2]. ...
Pemanas memiliki peran penting dalam proses industri dalam meningkatkan efisiensi proses dan menghasilkan kualitas produk yang baik, salah satunya adalah pemanas tangki berpengaduk kontinu. Masalah yang sering dihadapi dalam proses pemanasan adalah keakuratan suhu pada tangki pemanas. Agar suhu tangki tersebut mencapai titik setel dengan kecepatan respon dan akurasi yang tinggi, maka diperlukan sebuah pengendali. Pengendali PID merupakan salah satu jenis pengendali yang paling banyak digunakan oleh 90% industri karena sederhana, mudah diterapkan dan digunakan, serta fungsionalitas yang jelas. Oleh sebab itu, mahasiswa perlu didukung dengan media pembelajaran interaktif pada sistem kendali suhu pemanas tangki berpengaduk kontinu untuk meningkatkan kemampuan dan kompetensinya. Artikel ini membahas rancangan graphical user interface pada model sistem pemanas tangki berpengaduk kontinu menggunakan sistem kendali dan antarmuka interaktif sebagai alat bantu pembelajaran. Model ini menggunakan LabVIEW 2017 sebagai sofware virtual instrument dan NI ELVIS II sebagai perangkat keras pengendali serta akusisi data sistem. Skema kendali yang digunakan adalah PID konvensional dimana pengguna dapat menentukan parameter PID. Selain itu, antarmuka dibuat dengan konsep interactive learning, dimana proses pembelajaran berpusat pada pengguna aplikasi. Pengguna dimaksudkan untuk berkesperimen menggunakan antarmuka sistem pemanas tangki berpengaduk kontinu untuk mempelajari pengaruh perubahan parameter pengendali PID dan parameter fisik terhadap respon sistem.
... Automatic systems respond much more accurately and promptly to changes in certain parameters than humans do. Automation of technological processes using a PID controller based on a microcomputer can be not simply useful but indispensable in cases where a large number of calculations must be performed in a short time [21][22][23]. Another development is the use of a PID controller to control the milk pasteurization process [24][25][26][27][28]. ...
... In this paper, we have identified and modeled the process of the extruder heating system that describes the most representative behavior of the process in the form of a transfer function using the classical Broïda method (Ribeiro et al., 2017). Then we have controlled the control loop by choosing the structure of the controller the most adapted to the heating system and by calculating the parameters of this controller (Septiani et al., 2017) (Dehghani & Khodadadi, 2017) (Oo et al., 2018) in order to meet the greatest number of required constraints. The different simulations will be established in the form of block diagrams using the SIMULINK software. ...
This article allows a study of the electrical and control parts of a pilot extruder in order to transform polymers in the form of filaments used by the 3D printer. The input materials used are often thermoplastics in the form of granules or plastic waste. This paper aims are to design and manufacture the control part of a filament extruder in order to avoid many existing problems such as a longer settling time, large time constants, and undesirable overshoot. The proposed solution combined with a digital PID corrector, will have improvements in terms of time domain specification, set point tracking and eliminating static error by ensuring optimal system stability.
The control method will be simulated and visualized using MATLAB\Simulink software. In order to proceed with an analysis of the structural integrity of a high voltage electrical cable since the placement of the insulation part in a HV electrical cable is made by an extrusion directly around the conductive core.
... Masalah yang sering dihadapi dalam proses tersebut adalah keakuratan suhu pada tangki pemanas. Agar suhu tangki tersebut mencapai titik setel dengan kecepatan respon dan akurasi yang tinggi, maka diperlukan sebuah pengendali (Septiani et al., 2017). 142 Salah satu penerapan pengendalian suhu yang digunakan adalah metode untuk menentukan parameter pengontrol Proportional Integral Derivative (PID) menggunakan metode algoritma genetika dengan pengontrol Fuzzy Logic Stirred Tank Heater. ...
... Perancangan sistem Fuzzy Logic digunakan untuk mencari parameter dalam Algoritma Genetika yaitu probabilitas crossover dan probabilitas mutasi. Parameter ini digunakan untuk mencari nilai Kp, Ki, dan Kd pada kontroler PID (Septiani et al., 2017). Penelitian selanjutnya menyajikan analisis perbandingan kinerja pengendali PID dan pengendali Fuzzy PID untuk kontrol proses CSTH (Continuous Stirred Tank Heater) (Kabila & Glan Devadhas, 2015). ...
This paper proposes a temperature control system on a continuous stirred tank heater prototype using a PID controller. Input value parameters and system responses are displayed on a GUI (Graphical User Interface) connected to a computer (PC or Laptop) so that they can be monitored in real-time. The sensor used in the stirred tank heater consists of two LM35DZ temperature sensors. The results of the temperature sensor readings are entered into the data acquisition device (NI ELVIS II) as a data processing process which is then processed using LabVIEW and displayed on the GUI. The results of this study can provide a model of a continuous stirred tank heater temperature control system with a water room temperature range up to 45ºC using the parameters PI Kp = 83.2 Ti = 0.03, Td = 0.ABSTRAK:Paper ini mengusulkan sebuah sistem kendali suhu pada sebuah prototipe pemanas tangki berpengaduk kontinyu menggunakan pengendali PID. Parameter nilai masukan dan respon sistem ditampilkan pada GUI (graphical user interface) yang terhubung dengan komputer (PC atau Laptop) sehingga dapat dipantau secara waktu riil. Sensor yang digunakan pada alat pemanas tangki berpengaduk terdiri dari dua buah sensor suhu LM35DZ. Hasil pembacaan sensor suhu tersebut dimasukkan pada perangkat akusisi data (NI ELVIS II) sebagai proses pengolahan data yang selanjutnya diolah menggunakan LabVIEW dan ditampilkan pada GUI. Hasil penelitian ini mampu memberikan sebuah model sistem kendali suhu pemanas tangki berpengaduk kontinyu dengan rentang suhu ruangan air sampai 45ºC menggunakan parameter PID Kp=83,2 Ti=0,03, Td=0.
... Temperature control for STH equipment has been extensively studied including using Proportional Integral Derivative (PID) [1], Proportional Integral (PI) [2], dan fuzzy PID [3] controllers. Other studies reported using a combination of computational intelligent methods to optimize PID control parameters [4]. This controller has been able to solve general problems of temperature control. ...
... ρ) (Kg/s). If TI suddenly increases and if QS (energy in steady state condition) has no change, then the energy balance around the tank is:: [4] [5] (3) (4) Where M = V. ρ and M are the tank mass (Kg), ρ is the density of the species (Kg / m 3 ), and V is the volume of the vessel (m 3 ). The design of this heating system uses the same working principle as a steam-heat modeling process, where input pressure is controlled. ...
... Based on the law of energy equilibrium, which stated that the energy change in a system is equal to the amount of energy entering the system minus the amount of energy going out of the system, then equation (8), as follows [4] = ρFC(TI -Tref) -ρFC(T-Tref) + Q (8) ...
This investigation aimed to design two proportional-integral (PI) and proportional-integral-derivative (PID) controllers using MATLAB/Simulink for the water level control system in a 3D virtual environment developed in Factory I/O. Two types of Zeigler-Nichols (ZN) and Cohen-Coon (CC) tuners are used in each controller, based on a first-order plus dead time (FOPDT) model. Because the water level is a nonlinear problem, higher control accuracy is required in the system. In this study, the Kalman filter was considered to reduce the noise and interference errors in the water level measurement. The experimental results show the comparisons between the tuning methods with and without the Kalman filter, where the controller with the best stabilization is the CC-PI with the Kalman filter. In Table 3, we observe that the values of rise time, settling time, overshoot, and IAE using the CC-PI tuning method with Kalman filter present better performance than the other controllers used in this research.
