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Jurnal Mahasiswa TEUB
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RANCANG BANGUN INTERKONEKSI RANGKAIAN BERBASIS CROSSBAR SWITCH DAN APLIKASI WEB Taqiy Asyam Listyawan; Waru Djuriatno; Raden Arief Setyawan
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Breadboards are often used in electronics prototyping which have a construction with several IO pins that each pin has several interconnected points to IO. To connect these pins, jumper cables are used at the pin points are connected. The construction is similar to the crossbar switch. Crossbar switches have two lines, namely horizontal and vertical with a relay at each intersection.The construction can be used as a circuit interconnect programmatically through a web application. In this design, the design is divided into five parts, including: crossbar switch module design, control module, disconnect function and connect function. The result of this design is the vertical crossbar switch lines are used as IO pins while the horizontal lines are used as line like a jumper cable. BL155 is used for relay. In this test, the relay resistance between IO and the line around 0.2Ohm – 0.3Ohm. The voltage drop on the relay is not found. Application test shows that the application is able to make the steps of disconnection, connection, and changing the address on the application to the address on the device. Keywords : Breadboard, Crossbar Switch, Web Application, Electronic Prototyping, BL1555 DAFTAR PUSTAKAFaudin, A. (2017, Juli 24). Memahami dengan mudah apa itu breadboard atau project board. Diambil kembali dari Nyebarilmu.com: https://www.nyebarilmu.com/memahami-dengan-mudah-apa-itu-breadboardatau-project-board/Freeman, R. L. (2004). Telecommunication System Engineering, Fourth Edition. New Jersey: Wiley.Wijayanti, N. N. (2021, Januari 2021). Website vs Web Application : Pilih yang Mana Ya? Diambil kembali dari Niaga Hoster:https://www.niagahoster.co.id/blog/web site-vs-web-app/Switch Analog
ANALISIS KONDISI TRANSFORMATOR UTAMA PT. PLN (PERSERO) UPK TARAHAN LAMPUNG BERDASARKAN HASIL UJI DGA (DISSOLVED GAS ANALYSIS) Bagus Ramadhan; Moch. Dhofir; Tri Nurwati
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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According to SLD Sumatera data, UIP3BS has three load control sub-systems, namely UPB Southern Sumatera, UPB Central Sumatera, and UPB Northern Sumatera with a total of 202 substations and transformers totaling 402 units / 22.594 MVA. Based on these data, it shows the importance of the role of the transformer so it is very necessary to know the condition of the transformer and take appropriate maintenance action against the transformer is very necessary. Therefore, this study aims to assess the condition of the main transformer transformer in unit 4 at PT PLN (Persero) UPK Tarahan Lampung based on the results of DGA (Dissolved Gas Analysis) testing. DGA testing serves to provide information related to the condition of the transformer so that it can take appropriate maintenance actions. In this study, several processes were carried out, namely by taking data from DGA test results in the form of gas value levels of H2, CH4, CO, CO2, C2H4, C2H6, C2H2 dissolved in main transformer oil in unit 4 at PT PLN(Persero) UPK Tarahan. Then analyze the DGA test results using the TDCG method and the Duval's Triangle method. Based on the results of the analysis using the TDCG and Duval Triangle methods, the condition of the main transformer at unit 4 PT. PLN(Persero) UPK Tarahan Lampung in normal conditions. This is also supported by the TDCG value which is well below 720 ppm. Therefore, this condition is still within the permissible limits for the main transformer unit 4 of PT PLN (Persero) UPK to operatenormally. Keyword: DGA, Duval’s Triangle, fault gas, TDCG, transformer DAFTAR PUSTAKA[1] Demmassabu, A. R., L. S. Patras., dan F. Lisi. (2014). Analisa Kegagalan Transformator Daya Berdasarkan Hasil Uji DGA dengan Metode TDCG, Key Gas, Roger’s Ratio, Duval’s Triangle pada Gardu Induk. J. Teknik Elektro dan Komputer. 3(4) 1─10.[2] Faishal, M. A. R., Karnoto., dan T. Sukmadi. (2011). Analisis Indikasi Kegagalan Transformator dengan Metode Dissolved Gas Analysis. J. Transmisi. 3(13). 1─10.[3] IEC 60599. (2015). Mineral oilimpregnated electrical equipment in service: Guide to the interpretation of dissolved and free gases analysis. Geneva: IEC.[4] IEEE C57.104. (2019). International Standard – Guide for the Interpretation of Gases Generated in Mineral OilImmersed Transformers. IEEE - 2019. Piscataway: IEEE.[5] Kelman TRANSFIX Multiple Gas Transformer DGA. https://www.gegridsolutions.com/md/catalog/transfix.htm. (diakses 10 Oktober 2022).[6] Kementrian Energi dan Sumber Daya Mineral (ESDM). https://www.esdm.go.id/en/beritaunit/directorate-general-ofelectricity/kuartal-iii-2021-konsumsi-listrik-per-kapitameningkat-capai-1109-kwh. (diakses 12 September 2022).[7] Naibaho, N. (2017). Analisis Kegagalan Transformator Berdasarkan Hasil Pengujian DGA. J. SINERGI. 98─106.[8] PT. PLN (Persero), 2014. Buku Pedoman Pemeliharaan Transformator Daya. Jakarta: PT PLN (Persero).[9] PT. PLN (Persero). Singgle Line Diagram UIP3BS 2021. (diakses 15 Oktober 2022).[10] Yudhapraja, S., dan A.S. Prayogi. (2020). Analisa Gejala Kerusakan Transformator Berdasarkan Dissolved Gas AnalysisPembangkit PLTA Way Besai. J. NCIET. 1(1): 13─23.[11] Zope, N., Ali, S. I., Padnamaban, S., Bhaskar, M. S., dan Popa, L. M. (2018). Analysis of 132kV/33kV 15MVA Power TransformerDissolved Gas Using Transport-X Kelman Kit Through Duval’s Triangel and Roger’s Ratio Prediction. 2018 IEEE International Conference on Industrial Technology (ICIT). 1160-1164.
RANCANG BANGUN FUNCTION GENERATOR BERBASIS ARDUINO DENGAN FUNGSI PERIODIK SEBAGAI MASUKAN Muhammad Setyo Hadi Juwono; Ponco Siwindarto; Zainul Abidin
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Function generator is one of the most important and versatile electronic test equipment. Some of its users and uses are research and development, educational institutions, electrical and electronic equipment repair businesses, stimulus/response testing, frequency response characterization, incircuit signal injection, and hobbyist electronics. The waveforms that can be generated by the function generator include Sine waves, Square waves, Sawtooth waves and Triangle waves. The traditional analog function generators are gradually being replaced by digital function generators. However, the existence of function generators in the market has many problems such as high cost, large size, use of complicated methods, troublesome settings, unfriendly interface and so on. Referring to the above problems, an Arduino-based function generator was designed with adjustable input amplitude and frequency. This study aims to offer a function generator option with easy settings for users from electronics hobbyists in designing and testing electronic devices that are currently under development. The use of Arduino in this tool which is the most commonly used Development Board on the market and has a large user community is intended so that users can more easily access this tool and also aims to make it easier to manage the use of this tool. Based on the test results, the Arduino Due's DAC output has an average error of 0.647% with an accuracy of 99.353%. Testing the signal conditioning circuit has an average error of 0.218% with an accuracy of 99.782%. Testing the entire system has an average Vpp error of 0.340% with an accuracy of 99.660% and an average frequency error of 0.054% with an accuracy of 99.946%. Keywords: Function Generator, DAC, Op-Amp
VEHICLE DETECTION AND COUNTING BERBASIS OTOMATIS MENGGUNAKAN YOLO Juan Mora Michael Marbun; Panca Mudjirahardjo; n/a Soeprapto
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Vehicle counting is considered as one of the most important applications in traffic control and management, for detection and counting of vehicles must be carried out. Efficient real time vehicle counting can improve control in traffic management by aiming to efficiently collect real time traffic information. In vehicle detection and counting system, vehicle detection and counting is very important for traffic flow in monitoring, planning and control. Traffic flow is monitored using a computer vision paradigm, where images or sequences of images provide improvements to the road view that are used to detect vehicles, monitor and count the number of vehicles in traffic flow. The system works by capturing video streams such as vehicles in the monitored area to compute information and transferring compressed video streams to provide a video based solution which is mainly implemented in OpenCV by Python Programming and using You Only Look Once (YOLO) is an approach for real-time object detection based on a Convolutional Neural Network. Keywords: Vehicle Detection and Counting, Open-Cv, Phyton, Yolo DAFTAR PUSTAKA[1] Undang-Undang No 22 Tahun 2009 Tentang Lalu Lintas Dan Angkutan Jalan.[2] Yustianingsih, H. & Istianah. (2013). Survei Kepadatan Arus Lalu Lintas Di Persimpangan Penceng Jalan Ra. Rukmini, Kecapi Kebupaten Jepara. Reviews In Civil Engineering. Jepara: Universitas Islam Nahdlatul Ulama.[3] TRIBUNJOGJA. (2020). Masih Menghitung Kendaraan Secara Manual, Dishub DIY Butuh Alat yang Lebih Canggih Masih Menghitung Kendaraan Secara Manual, Dishub DIY Butuh Alat yang Lebih Canggih (jogjaprov.go.id). (diakses 21 Oktober 2022).[4] Pamudi. (2018). Penerapan Sistem Dinamik Dalam Sistem Transportasi Cerdas Untuk Mengurangi Kemacetan, Polusi DanMeningkatkan Keselamatan Berlalu Lintas (Study Kasus Dinas Perhubungan Kota Surabaya). Surabaya: Institut Teknologi Sepuluh Nopember Surabaya[5] Yostisa, R. (2021). Penerapan Sistem Transportasi Cerdas Di Ibu Kota Negara Baru https://baketrans.dephub.go.id/berita/penerapan-sistem-transportasi-cerdas-di-ibukota-negarabaru~Intelligent%20Transport%20 System%20atau%20sistem,transportasi%2C%20kendaraan%20dan%20pengguna%20jalan. (diakses 21 Oktober 2022)[6] Najm, M. & Ali, Y. H. (2020). Automatic Vehicles Detection, Classification and Counting Techniques / Survey. Department of Computer Science. Iraq: University of Technology, Baghdad[7] Redmon, J., Divvala, S., Girshick, R. & Farhadi, A. (2016). You only look once: Unified, realtime object Detection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. https://doi.org/10.110 9/CVPR.2016.91. (diakses 26 Oktober 2022)[8] Amwin, A. (2021). Deteksi dan Klasifikasi Kendaraan Berbasis Algoritma You Only Look Once (YOLO) Program Studi Informatika. Yogyakarta: Program Sarjana Fakultas Teknologi Industri Universitas Islam Indonesia
IMPLEMENTASI LOGIKA FUZZY MAMDANI PADA PENGENDALIAN NUTRISI TANAMAN HIDROPONIK Adita Aulia A. Rachman; Fakhriy Hario Partiansyah; Gaguk Asmungi
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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The increasing demand for vegetables as a consumption commodity and the decreasing availability of land for conventional cultivation have led to hydroponic cultivation as one of the solutions. Unlike soil-based farming, hydroponics uses water as the medium for growing. However, the nutrient levels of hydroponic plants must be maintained within a certain range. Nutrient deficiencies can cause leaves to wilt and curl, while excess nutrients can cause leaves to turn dark green, indicating poor plant health. Thus, the purpose of this research is to develop an automatic nutrient controller that operates according to a setpoint to ensure that hydroponic plants receive the appropriate nutrients. In this study, Mamdani fuzzy logic control is used because of its simple structure, and its linguistic methods can be analyzed mathematically, making it easy to understand. Fuzzy logic control converts crisp input values into fuzzy values using membership functions, then applies the rules that have been created based on implication, followed by rule composition, and finally defuzzification to convert the fuzzy values into crisp output values. Index Terms— Hydroponics, Mamdani Fuzzy Logic Control, Membership Function DAFTAR PUSTAKA[1] Badan Pusat Statistik. 2020. Produksi Tanaman Sayuran 2017-2020. Statistik Telekomunikasi Indonesia. Jakarta.[2] Hudoro. 2003. Keuntungan Budidaya Hidroponik. Rineka Cipta: Jakarta.[3] Mashumah, Siti, dkk. 2018. Nutrient Film Technique based Hydroponic System Using Fuzzy Logic Control. International Seminar on Intelligent Technology and Its Applications (ISITIA). Institut Teknologi Sepuluh Nopember.[4] Triwidyastuti, Y., Puspasari, I., & Harianto, H. 2018. Comparison between PID and Fuzzy Controller to Hydroponi Temperature. International Conference on Information Technology Applications and Systems (ICITAS).[5] Safura, S. A. El, dkk. 2018. Rancang Bangun Sistem Kontrol Logika Fuzzy Pada Pengaturan Nutrient Film Technique. e-Proceeding of Engineering, 5(1), 959-966.
IMPLEMENTASI ALGORITMA KONTROL PROPORTIONAL INTEGRAL (PI) DC-DC FLYBACK CONVERTER MENGGUNAKAN ARDUINO NANO UNTUK FUEL CELL Alkafi Dimitri Sukmana; Waru Djuriatno; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Energy plays a very important role in human life. Every year, the demand for energy needs continues to increase and the majority of energy generation uses fossil fuels. So an environmentally friendly energy source is needed. One of the environmentally friendly energy sources is fuel cells. Themain problem with fuel cells is that the output voltage is unstable and changes depending on the pressure, temperature, and use of the fuel cell's composition. So one of the electronic equipment that can increase and stabilize the output voltage in the fuel cell is needed, namely the Dc-Dc flyback converter using PI (Proportional Integral) Control. The use of a flyback converter with a designed PI control has a role to set the PWM on the flyback converter switch. In this study, the Implementation of the PI Control Algorithm on the Dc-Dc flyback converter used voltage feedback. The purpose of this study is to design and analyze the performance characteristics of the PI controller in stabilizing the output voltage of the flyback converter even though there are changes in load and input voltage. In this study, there were two tests on the design results, namely testing the response of the flyback converter on the open loop and the close loop which was given PI control with the direct synthesis method. The results showed that the flyback converter has been successfully created and is able to produce an output voltage of 2-3x from an input voltage of 24Vdc. The converter is capable of producing a voltage of 63.6 Vdc with a duty cycle of 50% with an efficiency of 83.57%. From the close loop test, there will be variations in input voltage and load, the flyback converter output voltage can be kept constant at 72 volts with steady state error and relatively small settling time values. Sothe performance of the PI controller with Dc-Dc flyback converter in regulating the dc-dc output voltage of the flyback conveterter can respond to changes in input voltage, load, and setpoint stably and effectively. DAFTAR PUSTAKA[1] International Energy Agency (IEA), “International Energy Agency (IEA)- Report,” 2018.[2] Idham F, Halimi S, dan Latifah S. 2009. Alternatif Baru Sumber Pembangkit Listrik dengan Menggunakan Sedimen Laut Tropika Melalui Teknologi Microbial Fuel Cell. Teknologi Hasil Perikanan Institut Pertanian Bogor.[3] I. A. Safitri dkk., “UJI KINERJA SMART GRID FUEL CELL TIPE PROTON EXCHANGE MEMBRANE (PEM) DENGAN PENAMBAHANHIDROGEN,” 2016.[4] S. K. Rajasekaran, G. Uma, and K. Vijayakumar, "Design of Flyback Converter with PI Controller for Power Factor Correction,"International Journal of Engineering and Technology, vol. 8, no. 3, pp. 1216-1223, 2016.[5] Erni, Y. (2019). Sistem Kontrol. Bandung: Informatika.[6] Erni, Y. (2021). Sistem Kontrol Lanjut. Bandung: Informatika.[7] Ogata, K. (2010). Modern Control Engineering. New Jersey: Prentice Hall.
RANCANG BANGUN DC-DC FLYBACK KONVERTER PADA FUEL CELL MENGGUNAKAN MODE DCM (DISCONTINUOUS CONDUCTION MODE) Haidar Taqy; Waru Djuriatno; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Energy is one of the main sources in human daily life, the resources are divided into two part, it is renewable and non-renewable resources. In the 21st century, fuel cells has been known as a technology which can produce electrical energy and heat energy efficiently and cleanly. This fuel cell is a renewable energy category, therefore it will be environmentally friendly. Then, to support the performance of fuel cell, it requires a tool namely DC-DC converter. DC-DC converter is an electronic circuit that is used to increase or decrease the DC voltage value. There are many kind of topologies for this converter, one of them is the flyback topology. The flyback topology is a relatively simple topology than the other topologies, especially for the low power category. In this flyback converter circuit there is a transistor controlled ignition circuit, namely Pulse Width Modulation (PWM). The function of PWM is to compare the DC reference signal waveform with a triangle. There are variation of duty cycle value in the PWM control circuit which is regulated by the Arduino microcontroller. In this converter there is a transfomator to increase the DC voltage valueas it was expected. The sensors used in this flyback converter are current sensors and voltage sensors, in order to display data results accurately. Keywords : Fuel Cell, DC-DC converter, DC Voltage, Flyback, Pulse Width Modulation, Duty Cycle, Transformer, Microcontroller DAFTAR PUSTAKA[1] H. Suhada, “Fuel Cell Sebagai Penghasil Energi Abad 21,” 2001. [Online]. Available: http://puslit.petra.ac.id/journals/mechanical/92[2] “Fuel Cell Handbook (Seventh Edition),” 2004.[3] G. C. Nugroho, T. Andromeda, and Y. Christyono, “PERANCANGAN KONVERTER ARUS SEARAH TIPE FLYBACK SEBAGAI CATUDAYA RANGKAIAN DRIVER DAN MICROCONTROLLER PADA KONVERTER TIPE ZETA,” TRANSIENT, vol. 7, no. 4, p. 897, May 2019, doi:10.14710/transient.7.4.897-903.[4] S. S. Deswal, “Application of Boost Converter for Ride-through Capability of Adjustable Speed Drives during Sag and SwellConditions Biological evaluation of Lagenaria siceraria View project Antiulcer Product Standardization View project.” [Online]. Available: https://www.researchgate.net/publication/242582788[5] B. Rudiyanto, A. Susanto, and Y. Susmiati, “Aplikasi Kontrol PI (Proportional Integral) pada Katup Ekspansi Mesin Pendingin,” 2016. [Online]. Available: http://www.jurnal.unsyiah.ac.id/RTP[6] A. A. Kurniawan, B. Fatkhurrozi, and R. A. Wibowo, “DESAIN FLYBACK CONVERTER MENGGUNAKAN KLEM AKTIF UNTUK SISTEMPHOTOVOLTAIC 500W,” Theta Omega: Journal of Electrical Engineering.[7] S. Noor and N. Saputera, “EFISIENSI PEMAKAIAN DAYA LISTRIK MENGGUNAKAN KAPASITOR BANK,” 2014.
PENGARUH SINAR ULTRAVIOLET DAN LAPISAN BAHAN SILICON RUBBER PADA ISOLATOR POLYETHYLENE TERHADAP SUDUT KONTAK DAN ARUS BOCOR DALAM KONDISI KERING DAN BASAH Sabila Azmil Khaqqi; Moch. Dhofir; Rini Nur Hasanah
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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This study describes the effect of variations in ultraviolet light, the silicon rubber coating on the insulator on the level of leakage current and the contact angle, in this study the insulator is made of polyethylene with two variations of angles, namely angles of 120° and 150° where there are two insulators with different conditions, namely coating and no lining. The research method used is to take data on leakage current and contact angle directly at the High Voltage Engineering Laboratory, University of Brawijaya, the test is carried out using AC voltage with a variation of the test voltage of 2 kV, 4 kV, 5 kV, 6 kV, 8 kV, 10 kV , 12 kV, 14 kV, 15 kV, 20 kV and 25 kV. Tests were carried out using 2 conditions for each insulator, namely before and after ultraviolet light irradiation with variations of 12 and 14 hours which were then tested in dry conditions and wet conditions with variations in wetting discharge 10, 30, and 60 mL/s which refers to Rainfall trend in Indonesia. Testing the contact angle on the insulator using irradiation variations of 0, 2, 4, 6, 8, 10, 12, and 14 hours. The results obtained in this study include knowing the level of leakage current in each insulator, especially comparing dry conditions and the presence of wet conditions with an increase in wetting discharge so that the surface resistance is known and also the power loss caused by the insulator. The results obtained from this study include the addition of coating causing an increase in the contact angle and the size of the leak and the greater the addition of the fin angle will cause an increase in the leakage current level, besides that the wetting current discharge also affects the leakage current, where the increase in the insulator leakage current level is directly proportional with the addition of wetting discharge. Keywords — Polyethylene insulator, Angle contact, leakage current, ultraviolet, silicone rubber, dry and wet condition
SISTEM PENGENDALIAN SUHU DAN KELEMBAPAN MENGGUNAKAN KONTROLER PID PADA PLANT INKUBATOR BAYI Rafa Raihan Fadilla; n/a Rahmadwati; Moch. Rusli
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Many infant mortality rates are due to premature events. Premature babies will have difficulty regulating their body temperature. If not treated properly, the baby will suffer hypothermia. To overcome this, you can use a baby incubator as a heater. The baby incubator's temperature is maintained within normal limits of around 33°C–35°C with a relative humidity of 40% RH-60% RH to help stabilize the baby's body temperature. However, in most baby incubators, the system is still controlled manually. So an automatic temperature and humidity control system is needed in the baby incubator. For temperature control, a PID controller is used with a value of Kp = 11,4, Ki = 0,03, and Kd = 1100,1, while humidity control is used with an on-off controller. According to theresults of the PID controller experiments, steady state error was 0,65%, settling time (5%) 5,81 minutes, settling time (2%) 7,75 minutes, and settling time (0,5%) 9,7 minutes. Meanwhile, the results of the humidity experiments with a limit of 58% RH–62% RH, the response obtained was a settling time of 3,4 minutes. Keywords— Premature Babies, Incubator, Ziegler Nichols. DAFTAR PUSTAKA[1] Lawn, J. E., dan Kinney, M. 2014. Preterm Birth: Now the Leading Cause of Child Death Worldwide. Science Translational Medicine. 6 (263): 1-3.[2] Zermani, M. A., Feki, E., dan Mami, A. 2014. Building Simulation Model of Infant Incubator System with Decoupling Predictive Controller. IRBM. 35 (4): 189-201.[3] Singla, S. K., dan Singh, V. 2015. Design of a Microcontroller Based Temperature and Humidity Controller for Infant Incubator. Journal of Medical Imaging and Health Informatics. 5 (4): 704-708.[4] Visscher, M. O., Adam, R., Brink, S., dan Odio, M. 2015. Newborn Infant Skin: Physiology, Development, and Care. Clin Dermatol. 33 (3): 271-280.[5] Hutagaol, H. S., Darwin, E., dan Yantri, E. 2014. Pengaruh Inisiasi Menyusu Dini (IMD) terhadap Suhu dan Kehilangan Panas pada Bayi Baru Lahir. Jurnal Kesehatan Andalas. 3 (3): 332-338.[6] Wulandari, R. A., dan Praborini, A. 2018. Anti Stres Menyusui. Edisi ke-1. Kawan Pustaka. Jakarta.[7] Hammarlund, K., Nilsson, G. E., Oberg, P. A., dan Sedin, G. 1977. Transepidermal Water Loss in Newborn Infants. I. Relation to Ambient Humidity Site of Measurement and Estimation of Total Transepidermal Water Loss. Acta Paediatrica. 66 (5): 553-562.[8] Rutter, N. 2000. Clinical Consequences of an Immature Barrier. Semin Neonatal. 5 (4): 281-287.[9] Latif, A., Widodo, H. A., Atmoko, R. A., Phong, T. N., dan Helmy, E. T. 2021. Temperature and Humidity Controlling System for Baby Incubator. Journal of Robotics and Control. 2 (3): 190-193.[10] Hasan, A. 2019. Sistem Monitoring Suhu dan Kelembaban pada Inkubator Bayi Berbasis Internet of Things (IoT). Skripsi. Fakultas Teknik Universitas Semarang, Semarang.[11] Yudaningtyas, E. 2017. Belajar Sistem Kontrol Soal & Pembahasan. Edisi ke-1. Universitas Brawijaya Press. Malang.[12] Ogata, K. 1997. Teknik Kontrol Automatik (Sistem Pengaturan). Edisi ke-1. Erlangga. Jakarta.[13] Ogata, K. 2010. Modern Control Engineering. Edisi ke-5. Prentice Hall. New Jersey
PERANCANGAN PARAMETER PI-DIGITAL DENGAN METODE MODULUS OPTIMUM PADA DIRECT TORQUE CONTROL MOTOR TRAKSI INDUKSI TIGA FASA Dewi Sukma S.Y; Moch. Rusli; Bambang Siswojo
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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In accordance with technological developments, induction motor control is important in the industrial field. The desired control is to obtain a motor speed response that matches the setpoint. This study uses the specifications of a three-phase induction traction motor, one of which is used in fast trains. Rugged and simple motor construction, high efficiency, easy maintenance, and economy are advantages in the use of three-phase induction motors. The control vector method used is the DTC method with the SVM technique in Simulink Matlab software. This study uses a PI controller with the MO tuning method. The controller parameter values for the speed control loop are Kp = 458.3, Ti = 0.5, and Ki = 916.6. The controller parameter values in the torque control loop are Kp = 1.2, Ti = 0.5, and Ki = 2.4. The controller parameter values in the flux control loop are Kp = 74.9, Ti = 0.49, and Ki = 152.9. This study has simulated and analyzed the response of the PI-Digital controller circuit with the MO tuning method on the DTC three-phase induction traction motor under zero/no load conditions which produces an output response in accordance with specified design specifications, where the output speed is 158.5 rad/s with a settling time of 0.17 seconds and a steady state error of 0.9%. As well as under torque load conditions of 100 N.m, 200 N.m, and 300 N.m, the output generated with the settling time is longer with an additional time of 0.01 second. Keywords: three-phase induction traction motor, direct torque control (DTC), Space Vector Modulation (SVM), PI controller, Modulus Optimum (MO), simulink. DAFTAR PUSTAKA[1] N. Pimkumwong and M.-S. Wang, "Direct Torque Control of Three-Phase Induction Motor based on Constant Voltage per Frequency Control with Simple Controller," International Conference on Electrical Engineering/Electronics, Computer,Telecommunications and Information Technology, 2018.[2] N. Evalina, A. A. H and Zulfikar, "Pengaturan Kecepatan Putaran Motor Induksi 3 Fasa Menggunakan 8 Programmable logic controller," Journal of Electrical Technology, 2018. [3] M. Vítečková and A. Víteček, "Modulus optimum for digital controllers," Acta Montanistica Slovaca, 2003.[4] M. S. A. Sari, H. Suyono and A. Lomi, "Analisis Kendali Kecepatan Motor Induksi 3 Fasa dengan Metode Direct Torque Control (DTC) Berbasis PID Kontrol," ECOTIPE, pp. 70-77, 2020.[5] K. L. Shi, T. F. Chan, Y. K. Wong and S. L. Ho, "Modelling and Simulation of Direct Self-Control Systems," Int. J. Engng Ed., pp. 646-654, 2003.[6] T. Ramesh and A. K. Panda, "Direct Flux and Torque Control of Three Phase Induction Motor Drive Using PI and Fuzzy Logic Controllers for Speed Regulator and Low Torque Ripple," IEEE, 2012.[7] O. C. Sekhar, S. Lakhimsetty and A. H. Bhat, "A Comparative Experimental Analysis of Fractional Order PI Controller Based Direct Torque Control Scheme for Induction Motor Drive," Int Trans Electr Energ Syst., 2020.[8] M. Yusuf, V. Prasetia, S. D. Riyanto and A. A. Rafiq, "Desain Simulasi Sistem Pengaturan Kecepatan Motor Induksi Tiga Fasa dengan Switching Space Vector Pulse Width Modulation," ECOTIPE, pp. 24-31, 2019.[9] D. Rabie, Y. S. Mohamed and E. G. Shehata, "Voltage Source Converter Control and Stability Analysis of VSCHVDC System with High DC-Link Impedance," International Middle East Power Systems Conference (MEPCON), 2019.[10] A. A. Z. Diad, "Implementation of a novel full-order observer for speed sensorless vector control of induction motor drives," springer, 2017.[11] S. Enache, A. Campeanu, I. Vlad, R. Zlatian and M. A. Enache, "Dynamic Analysis of New Induction Motor for Electrical Traction," International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2020.

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