A Temperature Optimal Control Method of Temperature Control System Considering Thermal Inertia

2019 ◽  
Author(s):  
Zhichao Yang ◽  
Bo Sun ◽  
Fan Li ◽  
Liang Zhang
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Temperature Control ◽  
Control Method ◽  
Thermal Inertia ◽  
Temperature Control System ◽  
Optimal Control Method

Temperature Control System for Transformer Three-Phase 50 Hz 2500 kVA

2017 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Suci Rahmatia ◽  
Marsah Zaysi Makhudzia
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Heat Loss ◽  
Temperature Control ◽  
Electrical Energy ◽  
Temperature Control System ◽  
Iron Core ◽  
Electrical Device ◽  
Optimal Control System ◽  
Three Phase

<p><em>Abstrak <strong>- </strong></em><strong>Transformator adalah peralatan listrik yang sangat vital dalam proses pembangkitan maupun transmisi energi listrik karena transformator dapat menaikkan atau menurunkan tegangan. Pada proses menaikkan dan menurunkan tegangan biasanya sering timbul panas akibat rugi – rugi tembaga pada inti besi dan kumparannya sehingga pada kondisi overload akan menimbulkan pemanasan yang berlebih dan dapat mempengaruhi kinerja transformator. Oleh karena itu dibuat sistem kontrol temperatur pada transformer yang dapat mengontrol temperatur di dalam transformator saat bekerja pada kondisi overload, sehigga transformatornya tidak terbakar. Dial thermometer digunakan sebagai alat yang mengontrol temperatur transformator pada sistem kontrol temperatur. Agar mendapatkan sistem kontrol yang optimal, maka setting temperatur pada dial thermometer di sesuaikan dengan temperatur maksimal tranformator dapat bekerja. Sehingga pada saat temperatur tertentu dial thermometer dapat memberikan sinyal untuk membunyikan alarm dan mengaktifkan kontrol kipas sehingga kipas dapat bekerja menurunkan temperatur transformator.<em></em></strong></p><p><strong><em> </em></strong></p><p><strong><em>Kata kunci - </em></strong><em>transformator, rugi – rugi tembaga, temperatur, sistem kontrol, dial thermometer<strong>.</strong></em></p><p><strong><em> </em></strong></p><p><em>Abstract <strong>- </strong></em><strong>A transformer is an electrical device that is vital in the generation and transmission of electrical energy because the transformer can raise (stepping up) or lower (stepping down) the voltage. In the process of raising and lowering the voltage is usually often caused heat loss of copper in iron core and coil so that the overload condition will cause excessive warming and can affect the performance of the transformer. Therefore, a temperature control system on the transformer can control the temperature inside the transformer while working under overload conditions, so the transformer is not burned. Dial thermometer is used as a device that controls the temperature of the transformer in the temperature control system. In order to obtain an optimal control system, the temperature setting on the dial thermometer adjusted to the maximum transformer temperature can work. So that when a certain temperature dial thermometer can provide a signal to sound the alarm and activate the fan control so that the fan can work down the transformer temperature.</strong></p><p><strong> </strong></p><p><strong><em>Keywords -  </em></strong><em>transformator, loss of copper, themperature, control system, dial thermometer<strong></strong></em></p>

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

Study of Commercial Vehicle Active Seat Suspension

2013 ◽  
Vol 441 ◽  
pp. 641-644
Author(s):  
Gong Yu Pan ◽  
Hai Yang ◽  
Yong Tian Liu
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Commercial Vehicle ◽  
Control Method ◽  
Simulation Models ◽  
Seat Suspension ◽  
Optimal Control Method ◽  
Simulation Results ◽  
Set Up ◽  
Vehicle Seat

A 7-DOF half-car dynamic model which includes the cab mounting system and seat suspension system was established to study the performance of active seat suspension. The optimal control method was applied to design the active control system. Two dynamic simulation models of the passive seat suspension and the active seat suspension were set up by Matlab/Simulink, and the performance of the passive and active seat system was simulated in the time and frequency domain. The simulation results show that the active seat suspension can greatly improve the vehicle seat performance and the study has supplied the academic reference in the applications of the active seat suspension.

Plastic Tank Temperature Control System Based on OPC Technology

2014 ◽  
Vol 701-702 ◽  
pp. 812-815
Author(s):  
Lu Wang ◽  
You Zhi Ren ◽  
Hui Liu ◽  
Ya Wei Yang ◽  
Qian Zeng
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Control Method ◽  
Temperature Control System ◽  
Control Effect ◽  
Plc Control ◽  
Opc Technology ◽  
Neural Network Pid ◽  
Better Than

This paper analyzes the characteristics of the PLC and MATLAB, describes the OPC technology and introduces the system structures and procedures which uses the OPC technology to achieve the exchange of data between PLC and MATLAB system. For example, in the plastic tank temperature control system, it mentions the BP neural network PID control algorithm which is applied to the PLC control system by using the MATLAB intelligent controller. The results show that this control method is simple and the control effect is good, much better than the traditional PID control.

Design Theory and Operating Principle of Temperature Control System about Pakistan Antiseptic Machine Based on Fuzzy Theory

2014 ◽  
Vol 1008-1009 ◽  
pp. 672-676
Author(s):  
Zheng Kun Yao ◽  
Bao Zhen Zhang ◽  
Tian Hu Wu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Design Theory ◽  
Control Method ◽  
Fuzzy Theory ◽  
Temperature Control System ◽  
Single Chip ◽  
Digital To Analog Converter ◽  
Analog Converter ◽  
Temperature Signal

In order to control the temperature of Antiseptic Machine, the temperature control method based on fuzzy theory is presented. A program of temperature control system based on fuzzy theory is designed. The program transmits the temperature signal which is got from temperature sensor to single chip and then transmits the control signal to Digital-to-Analog Converter (DAC). The purpose is to control the corresponding solenoid valve work so that the Pakistan antiseptic machine’s temperature can be controlled.

scholarly journals SISTEM KONTROL SUHU AIR MENGGUNAKAN PENGENDALI PID. DAN VOLUME AIR PADA TANGKI PEMANAS AIR BERBASIS ARDUINO UNO

2016 ◽  
Vol 18 (4) ◽  
pp. 21
Author(s):  
Adiel Megido ◽  
Eko Ariyanto
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Control Method ◽  
Oscillation Amplitude ◽  
Voltage Divider ◽  
Limited Range ◽  
Volume Control ◽  
Temperature Control System ◽  
Water Volume ◽  
Water Heater

Adiel Megido, Eko Ariyanto  in this paper explain that the temperature control system on water heaters that use electric heaters, generally uses ON-OFF voltage control. Apart from this system being less efficient in using electricity, the limited range of voltage settings provided also lacks the output accuracy value required by the control system. So that for some applications it can cause a response to the temperature control system that oscillates. Another alternative in controlling the heating voltage is by using the PID control method (Proportional - Integral - Derifative), this method provides a wider range of voltage settings, so that it can provide the output accuracy value needed by the control system, thus making it possible to obtain system responses finer (minimum oscillation amplitude). In addition to problems with the temperature control system, the water volume control system in the water heater tank generally still uses probes that are installed at certain levels. The limitations in reading each change in height / volume of water causes the system output to be less linear (discrete). To produce linear readings and outputs in each change in water volume, a voltage divider can be used. In this final project design will use an electric water heater tank as a medium to determine the ability of the PID controller to control water temperature according to the set-point and control the height / volume of water in the tank using a voltage divider. Keywords : PID (Proporsional – Integral – Derifatif), Berosilasi, Set-pointReferencesMalvino, Albert Paul. 1981. Prinsip-prinsip Elektronik edisi kedua. Jakarta: Erlangga.Gunterus, Frans. 1994. Falsafah Dasar : Sistem Pengendalian Proses.Jakarta:Elex Media KomputindoEfendy, Marwan.n.d. Bab 1 Sistem Pengendalian. Surakarta: Universitas Muhamadiyah SurakartaBolton, W. 2009. Sistem Instrumentasi dan Sistem Kontrol. Jakarta:ErlanggaOgata, Katsuhiko. 1996. Teknik Kontrol Automatik Jilid 1-2, Diterjemahkan oleh Ir. Edi Laksono. Jakarta : Erlangga.sPetruzella, Frank D. 1996. Elektronika Industri. Yogyakarta: Andi Yogyakarta.Rashid, H Muhammad. 1999. Elektronika Daya Jilid 1. Jakarta: Prehalindo.Michael Tooley, BA. 2003. Rangkaian Elektronik Prinsip dan Aplikasi Edisi kedua. Jakarta : Erlangga.Bishop, Owen. 2004. Dasar-Dasar Elektronika. Jakarta : Erlangga.Majid, Saifulloh Agung. 2009. Pengontrolan Temperatur Menggunakan Metode Kontrol PID Berbasis Mikrokontroler AT90S8515. Semarang: Jurusan Teknik Elektro Fakultas Teknik Universitas Diponegoro.Surono, dkk. 2009. Bahasa Indonesia Untuk Perguruan Tinggi. Semarang: Farindo Press.Laksono, Suryo Krido, Sumardi, dan Aris Triwiyatno. 2010. Pengaturan Sudut Fasa Berbasis Logika Fuzzy Untuk Sistem Pengaturan Temperatur. Semarang: Jurusan Teknik Elektro Fakultas Teknik Universitas Diponegoro.Firsyari, Akhmad Salmi, Purwanto, M Aziz Muslim. 2013. Sistem Pengendalian Suhu Pada Proses Distilasi Vakum Bioetanol Dengan Menggunakan Arduino. Semarang: Jurusan Teknik Elektro Fakultas Teknik Universitas Diponegoro.Azaria Mutia Suriatmadja. 2013. Modul Kontrol Temperatur Air Berbasis PID Menggunakan Matlab Simulink. Semarang: PSD III Teknik Elektronika Jurusan Teknik Elektro Politeknik Negeri Semarang

Design of a Temperature Control System Based on Generalized Predictive Control

2015 ◽  
Vol 713-715 ◽  
pp. 897-900
Author(s):  
Yun Feng Peng ◽  
Chang Shu ◽  
Xiang Lin Tan ◽  
Zhi Chao Shao
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Temperature Control ◽  
Pid Control ◽  
Control Method ◽  
Inertial Navigation ◽  
Temperature Control System ◽  
Generalized Predictive Control ◽  
Matlab Simulation

According to the unsatisfied control result in a military inertial navigation platform,a control method combined with generalized predictive control and PID control is proposed,accurate control can be realized in terms of time and temperature. MATLAB simulation is given to illustrate that this method satisfies expected requirements well,and is feasible and available.

Design of Temperature Control System about Pakistan Antiseptic Machine Based on Fuzzy Theory

2014 ◽  
Vol 1008-1009 ◽  
pp. 654-658
Author(s):  
Zheng Kun Yao ◽  
Tian Hu Wu ◽  
Bao Zhen Zhang
Keyword(s):  
Control System ◽  
Time Delay ◽  
Temperature Control ◽  
Control Method ◽  
Fuzzy Theory ◽  
Fast Response ◽  
Solenoid Valve ◽  
Temperature Control System ◽  
Temperature Signal ◽  
Test Result

In order to control the temperature of Antiseptic Machine, the temperature control method based on fuzzy theory is presented. A program of temperature control system based on fuzzy theory is designed.The program transmits the temperature signal which is got from DS18B20 to TA89S52 and then transmits the control signal to AD421. The purpose is to control the corresponding solenoid valve work so that the Pakistan antiseptic machine’s temperature can be controlled. The test result indicates that the structure of the control system is simple and effective. The proposed method can overcome the object’s pure time delay characteristic with fast response and small overshoot.

scholarly journals Automatic Temperature Control System on Smart Poultry Farm Using PID Method

2021 ◽  
Vol 1 (1) ◽  
pp. 37-43
Author(s):  
Agung Enriko ◽  
Ryan Anugrah Putra ◽  
Estananto
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Control Method ◽  
Weather Conditions ◽  
Temperature Control System ◽  
Poultry Farm ◽  
Control Approach ◽  
Calibration Accuracy

Chicken farmers in Indonesia are facing a problem as a result of the country's harsh weather conditions. Poultry species are very susceptible to temperature and humidity fluctuations. As a result, an intelligent poultry farm is necessary to intelligently adjust the temperature in the chicken coop. A smart poultry farm is a concept in which farmers may automatically manage the temperature in the chicken coop, thereby improving the livestock's quality of life. The purpose of this research is to develop a chicken coop prototype that focuses on temperature control systems on smart poultry farms via the PID control approach. The PID control method is expected to allow the temperature control system to adapt to the temperature within the cage, thereby assisting chicken farmers in their tasks. The sensor utilized is a DHT22 sensor with a calibration accuracy of 96.88 percent. The PID response was found to be satisfactory for the system with Kp = 10, Ki = 0, and KD = 0.1, and the time necessary for the system to reach the specified temperature was 121 seconds with a 1.03 % inaccuracy.

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