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Pemodelan Dan Pengaturan Adaptif Untuk Sistem Hidrolik Tak-Linier Jayanegara, M Mulyadi; Zulfatman, Zulfatman; Mardiyah, Nur Alif
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 3, November-2016
Publisher : Universitas Muhammadiyah Malang

Elektro-hidrolik merupakan jenis aktuator yang kompleks dengan ketaklinieran yang tinggi dan mengandung unsur ketidakpastian di dalamnya. Oleh karena itu untuk mendapatkan performa terbaik dari sistem elektro-hidrolik diperlukan pemodelan yang lebih akurat dan sistem pengaturan yang tepat. Tujuan dari tugas akhir ini adalah melakukan pemodelan sistem secara tak-linier dan dilanjutkan dengan perancangan sistem pengaturan tak-linier yang robust untuk sistem elektro-hidrolik. Dalam tulisan ini pemodelan dilakukan dengan menggunakan System Identification Toolbox pada Matlab dari sepasang data input-output yang diambil dari sistem sebenarnya. Model dari sistem ditampilkan dalam bentuk tak-linier, karena mengakomodasi ketaklinieran, ketidakpastian dan gangguan dari sistem elektro-hidrolik. Sistem pengaturan menggunakan Sliding Mode Control (SMC) yang dikombinasikan dengan pengaturan Fuzzy dalam format Adaptif Sliding Mode Control (ASMC) untuk mengkompensasi perubahan parameter, ketaklinieran, ketidakpastian dan gangguan pada pengaturan SMC. Stabilitas sistem pengaturan dijamin dengan fungsi Lyapunov. Hasil pemodelan tak-linier menunjukkan nilai best-fit sebesar 94.65 %. Sementara pengaturan ASMC menghasilkan performa lebih baik dibandingkan dengan pengaturan SMC, hal ini dibuktikan menggunakan metode Sum of Squared Tracking Errors (SSTE) menghasilkan nilai sebesar 0,0121.

Rancang Bangun Penstabil Tegangan Pada Pembangkit Termoelektrik Skala Pico Berbasis Boost Converter Fajria, Ailin Rohmatul; Priyanto, Budhi; Pakaya, Ilham; Zulfatman, Zulfatman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 2, May-2017
Publisher : Universitas Muhammadiyah Malang

Kurangnya pemanfaatan modul termoelektrik sebagai pembangkit listrik di masyarakat sering diakibatkan energi yang dihasilkan cenderung tidak stabil.Â Sehingga diperlukan sebuah rangkaian penstabil tegangan yang dapat menaik dan menurunkan tegangan menjadi tegangan tertentu. Tujuan proyek ini adalah merancang sebuah rangkaian penstabil tegangan DC skala pico berbasis boost converter. Pengujian dilakukan dengan 3 tahap, yaitu pengujian rangkaian penstabil menggunakan sumber adaptor yang mempunyai tegangan masukan 3-9 V, pengujian kinerja pembangkit termoelektrik pada beberapa âT tertentu dan pengujian rangkaian penstabil menggunakan sumber termoelektrik dengan âT yang sama dengan pengujian sebelumnya. Hasil pengujian pertama, saat diberikan tegangan masukan 3 hingga 9 V maka menghasilkan tegangan keluaran 5,07 hingga 5,08 V sehingga memiliki persentase ketepatan 98,55% terhadap tegangan 5 V yang diharapkan. Pada pengujian kedua, yaitu saat âT bernilai 30, 50 dan 70 Â°CÂ menghasilkan tegangan keluaran 2,5, 3,04 dan 3,39 V. Sementara pada pengujian ketiga dengan âT yang sama menghasilkan tegangan keluaran 5,08 hingga 5,09 V. Namun, saat âT bernilai 12 Â°C mengeluarkan tegangan 0,8 hingga 0,9 V baik pada pengujian kedua maupun ketiga, hal ini disebabkan tidak memenuhi tegangan kerja sistem penstabil yaitu 2 hingga 24 V. Hubungan antara âT terhadap Tegangan Keluaran (V), Arus (I) dan Daya (P) yang dihasilkan memiliki nilai R positif 0,76 hingga 1, yang berarti adanya hubungan berbanding lurus. Sehingga, semakin besar nilai âT maka akan berdampak pula pada semakin besarnya nilai V, I dan P yang dapat menjadi indikator kualitas pembangkit termoelektrik yang sedang diuji.

Optimization of Maximum Power Point Tracking (MPPT) Using P&O-Fuzzy and IC-Fuzzy Algorithms on Photovoltaic Pratama, Rido Octa; Effendy, Machmud; Zulfatman, Zulfatman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Solar energy is energy which can be harnessed conveniently and free. However, its conversion result may not be easily obtained. Based on the previous research, solar power plant is a source of renewable energy, utilizing solar energy. Solar power plant converts solar energy into electricity using Photovoltaic (PV) or solar cells. Even though solar power plant is considered as better energy alternative, it presents problems and weaknesses. In this case, the problems are related to insufficient power generation with low power efficiency, high oscillation and very slow power tracking. Hence, in order to solve these problems, Maximum Power Point Tracking (MPPT) has been utilized. Combination method of P&O-fuzzy and IC-fuzzy is employed to its design. Moreover, combined algorithm may result better power from conventional algorithm due to appropriate performance of duty cycle according to system design, with efficiency result of 79%-85.6%, tracking in searching output power of 0,0055s - 0,008s, low oscillation and maximum power generated by combined algorithm of 1028 watt.

Monitoring Fuel Oil Based Radio Frequency Identification (RFID) Client Septiantono, Dezar; Zulfatman, Zulfatman; Priyanto, Budhi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Motorcycles are a means of transportation which plays an important role in peoples lives. One of the existing problems on the motorcycle is the indicator system or often called by speedometer, an indicator system showing the value of the volume of fuel oil. In fact, the sensor unit used by the indicator is not a volume sensor but the surface of the fuel sensor in the form of mechanical potentiometers. This equipment irregularly measures oil tank so that the mathematical approach to formulate the relationship between surface height and gasoline volume will be difficult. Therefore, to interpret the data manipulation done by comparison method is the method of comparison experiment and calculation. This method is applied in this research due its more superior accuracy and efficiency. This research designs hardware for monitoring fuel oil based on Radio Frequency Identification (RFID) using AT mega 328 as main controller and LCD to display driverâs identity sent by General Packet Radio Service (GPRS). The sensor used is a buoy sensor, measuring the fuel volume between 0.20 liters to 9.55 liters. It is known that the comparative method has an average rate of 16.1%, in measuring the fuel volume between 0.20 liters to 3.68 liters. It is known that the comparative method has an average rate of 17.9%. On measuring the fuel volume between 0.20 liters to 3.43 liters, the comparative method having an average rate of 7.2% is employed. Based on the test results, the best comparison method in comparison with the interpolation method with the average rate of smallest 7.2% is determined.Â

Pemodelan Dan Pengaturan Adaptif Untuk Sistem Hidrolik Tak-Linier M Mulyadi Jayanegara; Zulfatman Zulfatman; Nur Alif Mardiyah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 3, November-2016
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v1i3.42

Elektro-hidrolik merupakan jenis aktuator yang kompleks dengan ketaklinieran yang tinggi dan mengandung unsur ketidakpastian di dalamnya. Oleh karena itu untuk mendapatkan performa terbaik dari sistem elektro-hidrolik diperlukan pemodelan yang lebih akurat dan sistem pengaturan yang tepat. Tujuan dari tugas akhir ini adalah melakukan pemodelan sistem secara tak-linier dan dilanjutkan dengan perancangan sistem pengaturan tak-linier yang robust untuk sistem elektro-hidrolik. Dalam tulisan ini pemodelan dilakukan dengan menggunakan System Identification Toolbox pada Matlab dari sepasang data input-output yang diambil dari sistem sebenarnya. Model dari sistem ditampilkan dalam bentuk tak-linier, karena mengakomodasi ketaklinieran, ketidakpastian dan gangguan dari sistem elektro-hidrolik. Sistem pengaturan menggunakan Sliding Mode Control (SMC) yang dikombinasikan dengan pengaturan Fuzzy dalam format Adaptif Sliding Mode Control (ASMC) untuk mengkompensasi perubahan parameter, ketaklinieran, ketidakpastian dan gangguan pada pengaturan SMC. Stabilitas sistem pengaturan dijamin dengan fungsi Lyapunov. Hasil pemodelan tak-linier menunjukkan nilai best-fit sebesar 94.65 %. Sementara pengaturan ASMC menghasilkan performa lebih baik dibandingkan dengan pengaturan SMC, hal ini dibuktikan menggunakan metode Sum of Squared Tracking Errors (SSTE) menghasilkan nilai sebesar 0,0121.

Rancang Bangun Penstabil Tegangan Pada Pembangkit Termoelektrik Skala Pico Berbasis Boost Converter Ailin Rohmatul Fajria; Budhi Priyanto; Ilham Pakaya; Zulfatman Zulfatman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 2, May-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v2i2.181

Kurangnya pemanfaatan modul termoelektrik sebagai pembangkit listrik di masyarakat sering diakibatkan energi yang dihasilkan cenderung tidak stabil. Sehingga diperlukan sebuah rangkaian penstabil tegangan yang dapat menaik dan menurunkan tegangan menjadi tegangan tertentu. Tujuan proyek ini adalah merancang sebuah rangkaian penstabil tegangan DC skala pico berbasis boost converter. Pengujian dilakukan dengan 3 tahap, yaitu pengujian rangkaian penstabil menggunakan sumber adaptor yang mempunyai tegangan masukan 3-9 V, pengujian kinerja pembangkit termoelektrik pada beberapa ∆T tertentu dan pengujian rangkaian penstabil menggunakan sumber termoelektrik dengan ∆T yang sama dengan pengujian sebelumnya. Hasil pengujian pertama, saat diberikan tegangan masukan 3 hingga 9 V maka menghasilkan tegangan keluaran 5,07 hingga 5,08 V sehingga memiliki persentase ketepatan 98,55% terhadap tegangan 5 V yang diharapkan. Pada pengujian kedua, yaitu saat ∆T bernilai 30, 50 dan 70 °C menghasilkan tegangan keluaran 2,5, 3,04 dan 3,39 V. Sementara pada pengujian ketiga dengan ∆T yang sama menghasilkan tegangan keluaran 5,08 hingga 5,09 V. Namun, saat ∆T bernilai 12 °C mengeluarkan tegangan 0,8 hingga 0,9 V baik pada pengujian kedua maupun ketiga, hal ini disebabkan tidak memenuhi tegangan kerja sistem penstabil yaitu 2 hingga 24 V. Hubungan antara ∆T terhadap Tegangan Keluaran (V), Arus (I) dan Daya (P) yang dihasilkan memiliki nilai R positif 0,76 hingga 1, yang berarti adanya hubungan berbanding lurus. Sehingga, semakin besar nilai ∆T maka akan berdampak pula pada semakin besarnya nilai V, I dan P yang dapat menjadi indikator kualitas pembangkit termoelektrik yang sedang diuji.

Optimization of Maximum Power Point Tracking (MPPT) Using P&O-Fuzzy and IC-Fuzzy Algorithms on Photovoltaic Rido Octa Pratama; Machmud Effendy; Zulfatman Zulfatman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Solar energy is energy which can be harnessed conveniently and free. However, its conversion result may not be easily obtained. Based on the previous research, solar power plant is a source of renewable energy, utilizing solar energy. Solar power plant converts solar energy into electricity using Photovoltaic (PV) or solar cells. Even though solar power plant is considered as better energy alternative, it presents problems and weaknesses. In this case, the problems are related to insufficient power generation with low power efficiency, high oscillation and very slow power tracking. Hence, in order to solve these problems, Maximum Power Point Tracking (MPPT) has been utilized. Combination method of P&O-fuzzy and IC-fuzzy is employed to its design. Moreover, combined algorithm may result better power from conventional algorithm due to appropriate performance of duty cycle according to system design, with efficiency result of 79%-85.6%, tracking in searching output power of 0,0055s - 0,008s, low oscillation and maximum power generated by combined algorithm of 1028 watt.

Monitoring Fuel Oil Based Radio Frequency Identification (RFID) Client Dezar Septiantono; Zulfatman Zulfatman; Budhi Priyanto
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Motorcycles are a means of transportation which plays an important role in people's lives. One of the existing problems on the motorcycle is the indicator system or often called by speedometer, an indicator system showing the value of the volume of fuel oil. In fact, the sensor unit used by the indicator is not a volume sensor but the surface of the fuel sensor in the form of mechanical potentiometers. This equipment irregularly measures oil tank so that the mathematical approach to formulate the relationship between surface height and gasoline volume will be difficult. Therefore, to interpret the data manipulation done by comparison method is the method of comparison experiment and calculation. This method is applied in this research due its more superior accuracy and efficiency. This research designs hardware for monitoring fuel oil based on Radio Frequency Identification (RFID) using AT mega 328 as main controller and LCD to display driver’s identity sent by General Packet Radio Service (GPRS). The sensor used is a buoy sensor, measuring the fuel volume between 0.20 liters to 9.55 liters. It is known that the comparative method has an average rate of 16.1%, in measuring the fuel volume between 0.20 liters to 3.68 liters. It is known that the comparative method has an average rate of 17.9%. On measuring the fuel volume between 0.20 liters to 3.43 liters, the comparative method having an average rate of 7.2% is employed. Based on the test results, the best comparison method in comparison with the interpolation method with the average rate of smallest 7.2% is determined.

Buck-boost Converter using GA-based MPPT for Solar Energy Optimization Syafaah, Lailis; Faruq, Amrul; Noor Cahyadi, Basri; Hidayat, Khusnul; Setyawan, Novendra; Lestandy, Merinda; Zulfatman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1658

Energy optimization in the Solar Power Plant system needs to have more attention. Indonesia is a tropical country that has two seasons, where the weather and cloud movements are frequently unpredictable, especially in the southern region of Java Island. To overcome this problem, an inverter equipped with maximum power point tracking (MPPT) was used. However, the current MPPT switching system was still not optimal with an efficiency of around 90%. In this study, the installation of MPPT was carried out in order to optimize the power in solar photovoltaic (PV) system due to the fluctuations of solar irradiation at PT. Jatinom Indah Agri, Blitar City. The maximum power generated by solar photovoltaic could be achieved by using the combination of DC - DC converter and artificial intelligence. In this study, the modeling of solar PV system was made using MATLAB software, where the design of the solar PV system consisted of a PV module with capacity 240W, DC to DC converter, battery and MPPT. Genetic Algorithm (GA)-based MPPT had been tested and compared to Particle Swarm Optimization (PSO)-based MPPT and conventional MPPT, where the GA-based MPPT worked well in finding the maximum power point in the solar photovoltaic system. It was found that GA-based MPPT produced a maximum power point close to PV power with an efficiency of 92%, while the effciciency of PSO-based MPPT and conventional MPPT were 85% and 79% respectively. In selecting the method for designing MPPT, a method with a wide range of sample data is required. This is due to the fluctuation of solar irradiance received by the solar PV.

Hybrid Fuzzy-PID Design Based on Flower Pollination Algorithm for Frequency Control of Micro-Hydro Power Plant Hakim, Ermanu Azizul; Norazizah; Zulfatman; Setyawan, Novendra
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 2, May 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i2.1755

Micro-Hydro Power (MHP) Plant System is the renewable energy resource that utilizes water potential energy. In MHP, the energy flows depend on the rotation speed of the generator which cause instability and nonlinearity in the frequency of electrical power. It is also supported by the fluctuation on the electricity load. Therefore, this study used Fuzzy Logic Controller combined with FPA-tuned PID to control the power frequency of the load. This test consisted of 4 stages, namely testing the system without a controller, testing the system using PID, testing the MHP system with a PID controller tuned to the Flower Pollination Algorithm, and testing the system using a Fuzzy PID tuned by the Flower Pollination Algorithm. Based on these tests, the Micro-Hydro Power Plant system response using a Fuzzy PID-tuned FPA controller performed best, especially in accelerating the time to a steady state, reducing overshoot and undershoot with the fastest rise time. As for the output signal from the controller used in the MHP, optimizing the Flower Pollination Algorithm for the Kp, Ki, and Kd parameters is effective and smooth in improving all elements in the Micro-Hydro Power Plant frequency stabilization. Meanwhile, the role of the fuzzy logic controller (FLC) is not very significant, and there is relatively a lot of noise in the output signal of the Fuzzy PID controller itself in terms of stabilizing the load frequency on the Micro-Hydro Power Plant.

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