Articles
<![CDATA[PERANCANGAN MAXIMUM POWER POINT TRACKING PADA PEMBANGKIT LISTRIK TENAGA BAYU MENGGUNAKAN FOUR SWITCH BUCK BOOST CONVERTER DENGAN METODE P&O-ORB ]]>
<![CDATA[effendy, machmud]]>;
<![CDATA[Syahputra, Rosyadi Nur]]>;
<![CDATA[hidayat, khusnul]]>
<![CDATA[ Transmisi: Jurnal Ilmiah Teknik Elektro Vol 21, No 4 Oktober (2019): TRANSMISI ]]>
Publisher : <![CDATA[Departemen Teknik Elektro, Universitas Diponegoro ]]>
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DOI: 10.14710/transmisi.21.4.96-102
<![CDATA[MPPT (maximum power point tracking) merupakan cara untuk memaksimalkan daya keluaran pada pembangkit listrik tenaga bayu (PLTB). Sistem MPPT pada PLTB terdiri dari DC-DC converter dan metode kontrol. Pada penelitian ini, sistem MPPT menggunakan Four Switch Buck Boost (FSBB) converter, dimana converter ini memiliki polaritas tegangan yang sama antara input dan output, ripple tegangan rendah, dan efisiensi daya lebih besar dibandingkan dengan Buck Boost Converter. Metode kontrol yang digunakan adalah  Perturb and Observe (P&O)- ORB (Optimum Relations-Based) yang memiliki tingkat osilasi lebih rendah dan efisiensi lebih tinggi dibandingkan dengan metode P&O.Sistem MPPT disimulasikan menggunakan software PSIM untuk mengetahui performa P&O-ORB dan FSBB converter. Evaluasi kinerja  P&O-ORB dan FSBB diuji dalam kondisi kecepatan angin 5 m/s. Hasil simulasi menunjukkan FSBB memiliki tingkat kesalahan yang lebih kecil daripada Buck Boost yaitu 0,02%. Dan sistem MPPT dengan metode P&O-ORB memiliki tingkat efisiensi yang tinggi mencapai 98,01 %.]]>
<![CDATA[Efficiency improvement of photovolatic by using maximum power point tracking based on a new fuzzy logic controller ]]>
<![CDATA[Effendy, Machmud]]>;
<![CDATA[Mardiyah, Nuralif]]>;
<![CDATA[Hidayat, Khusnul]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 9, No 2 (2018) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2018.v9.57-64
<![CDATA[Maximum power point tracking (MPPT) is a technique to maximize the power output of photovoltaic (PV). Therefore, to achieve higher PV efficiency, the development of MPPT control algorithm is necessary. Recently, it was revealed that fuzzy logic controller (FLC) is better than other control algorithms and is possible toe developed. This study fabricated and implemented MPPT based on the proposed a new FLC. Input Calculator (IC) via sensors reads current and voltage of PV and generates the comparison of voltage and current of PV, then IC output becomes fuzzy algorithm input. Fuzzy algorithm produces duty cycle that drives synchronous buck converter. The result showed that MPPT system with proposed FLC method has 99.1% efficiency while MPPT system with P&O method has 95.5% efficiency. From the obtained result, it can be concluded that the MPPT based on the proposed FLC can increase the overall efficiency of the system to 99.3%.]]>
<![CDATA[Strategi Pengisian Baterai pada Sistem Panel Surya Standalone Berbasis Kontrol PI Multi-Loop ]]>
<![CDATA[Hidayat, Khusnul]]>;
<![CDATA[Hasani, Mohammad Chasrun]]>;
<![CDATA[Mardiyah, Nur Alif]]>;
<![CDATA[Effendy, Machmud]]>
<![CDATA[ Jurnal Teknik Elektro Vol 13, No 1 (2021): Jurnal Teknik Elektro ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang ]]>
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DOI: 10.15294/jte.v13i1.29765
<![CDATA[This study discusses the power control strategy in a standalone photovoltaic-battery hybrid system. The life-time of the battery will be shorter if the battery is often charged with high current and exceeds its State-of-Charge (SoC). Therefore, a control method is needed to control the power flow on the DC bus and the charging current as well as the SoC of the battery so that the battery has a long life-time. The proposed system uses two dc-dc converters to connect photovoltaic (PV) and lead-acid batteries to the load. The unidirectional DC-DC converter is used as the interface between the PV and the DC bus, the bidirectional DC-DC converter is used as the interface between the battery and the DC bus. The control strategy plays a role in controlling the power flow between the converter and the load to maintain the balance of power in the system and controlling the battery to support PV when the available PV power is not enough to meet the load. The multi-loop control strategy is proposed in this study, one of the loops is used to maintain the SoC of the battery in order to control the PV output power to avoid over-charging. Another loop is used to ensure the balance of the system's power when the battery is charging at its maximum charge current. The proposed control system is implemented without requiring any conditions for the control to operate. The simulation results show that the proposed multi-loop control can control the power flow in the system while maintaining the maximum charging current and battery SoC limits.]]>
<![CDATA[Efficiency improvement of photovolatic by using maximum power point tracking based on a new fuzzy logic controller ]]>
<![CDATA[Machmud Effendy]]>;
<![CDATA[Nuralif Mardiyah]]>;
<![CDATA[Khusnul Hidayat]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 9, No 2 (2018) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
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DOI: 10.14203/j.mev.2018.v9.57-64
<![CDATA[Maximum power point tracking (MPPT) is a technique to maximize the power output of photovoltaic (PV). Therefore, to achieve higher PV efficiency, the development of MPPT control algorithm is necessary. Recently, it was revealed that fuzzy logic controller (FLC) is better than other control algorithms and is possible toe developed. This study fabricated and implemented MPPT based on the proposed a new FLC. Input Calculator (IC) via sensors reads current and voltage of PV and generates the comparison of voltage and current of PV, then IC output becomes fuzzy algorithm input. Fuzzy algorithm produces duty cycle that drives synchronous buck converter. The result showed that MPPT system with proposed FLC method has 99.1% efficiency while MPPT system with PO method has 95.5% efficiency. From the obtained result, it can be concluded that the MPPT based on the proposed FLC can increase the overall efficiency of the system to 99.3%.]]>
<![CDATA[Object Detection of Omnidirectional Vision Using PSO-Neural Network for Soccer Robot ]]>
<![CDATA[Novendra Setyawan]]>;
<![CDATA[Nuralif Mardiyah]]>;
<![CDATA[Khusnul Hidayat]]>;
<![CDATA[Nurhadi Nurhadi]]>;
<![CDATA[Zulfatman Has]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v5.1696
<![CDATA[The vision system in soccer robot is needed to recognize the object around the robot environment. Omnidirectional vision system has been widely developed to find the object such as a ball, goalpost, and the white line in a field and recognized the distance and an angle between the object and robot. The most challenging in develop Omni-vision system is image distortion resulting from spherical mirror or lenses. This paper presents an efficient Omni-vision system using spherical lenses for real-time object detection. Aiming to overcome the image distortion and computation complexity, the distance calculation between object and robot from the spherical image is modeled using the neural network with optimized by particle swarm optimization. The experimental result shows the effectiveness of our development in the term of accuracy and processing time.]]>
<![CDATA[Circuit Simulation for Wind Power Maximum Power Point Tracking with Four Switch Buck Boost Converter ]]>
<![CDATA[Machmud Effendy, ME]]>;
<![CDATA[Khusnul Hidayat]]>;
<![CDATA[Nuralif Mardiyah]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v5.1714
<![CDATA[Wind turbines have maximum mechanical power at certain wind speeds. Maximum Power Point Tracking (MPPT) is an electronic system capable of extracting maximum wind turbine power. The purpose of this research is to improve wind power efficiency through MPPT wind power design with four switch buck boost converter and Fuzzy control algorithm. Fuzzy control has two inputs are power changes and voltage changes and one output feeding to the pulse width modulation generator to control FSBB. Simulation results with Matlab simulink shows that wind power without MPPT produce 89% power efficiency, wind power MPPT with two switch buck boost converter yield 90% power efficiency and emerging high ripple current. The last simulation of wind power MPPT with FSBB produces the highest efficiency of 91% with low ripple current.]]>
<![CDATA[Peningkatan Efisiensi Photovolata dengan Menggunakan Pelacakan Daya Titik Maksimum Berdasarkan ]]>
<![CDATA[Machmud Effendy]]>;
<![CDATA[Khusnul Hidayat]]>;
<![CDATA[Wahyu Dianto Pramana]]>
<![CDATA[ JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 2 No 2 (2018): October ]]>
Publisher : <![CDATA[Muhammadiyah University, Sidoarjo ]]>
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DOI: 10.21070/jeee-u.v2i2.1703
<![CDATA[Photovoltaic (PV) is a device which is capable to converts solar irradiance into Direct Current (DC) electricity energy. To increase the power result of PV, it needs a method to track the Maximum Power Point(MPP) which is usually called Maximum power Point Tracking(MPPT). So that, the power result increased with low cost. The purpose of this research is to conduct MPPT modeling by Particle Swarm Optimization (PSO). The proposed method is implemented in DC to DC converter. This research used SEPIC converter. The purpose of using SEPIC converter is in order the output of current and voltage have smallest ripple. The modelling system is conducted by using MATLAB 2016b software to find out performance of PSO and SEPIC converter. The evaluation of PSO and SEPIC converter performance has been done. The simulation result shows that the proposed system has been working very well. The PSO has good accurateness in tracking and capable to to track the power produced by PV with velocity around ±4,2 seconds when in conditions STC, ±9,2 seconds when in conditions partial shading, despite a fluctuating irradiance change. While in SEPIC converter is able to reach efficiency of ≥ 80%.]]>
<![CDATA[Telekontrol Hexapod Spy Robot Menggunakan Wifi Berbasis Web Server ]]>
<![CDATA[Izzan Silmi Aziz]]>;
<![CDATA[Nur Alif Mardiyah]]>;
<![CDATA[Khusnul Hidayat]]>
<![CDATA[ PoliGrid Vol 1, No 1 (2020): Juni ]]>
Publisher : <![CDATA[Politeknik Negeri Samarinda ]]>
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DOI: 10.46964/poligrid.v1i1.302
<![CDATA[Evakuasi korban sangat sulit pada musibah reruntuhan bangunan atau akibat terkena bencana alam. Pada penelitian ini bertujuan membuat prototipe robot hexapod dengan rancangan sistem monitor dan kontrol pergerakan robot melalui web server agar dapat membantu proses mencari korban. Dalam web server, user dapat melihat sesuatu yang terlihat di depan robot. Robot juga mendeteksi wajah manusia dengan algoritma. Algoritma yang digunakan adalah algoritma PoseNet yang dapat mendeteksi wajah manusia berbagai arah. Untuk gerak robot peneliti menggunakan algoritma tripod gait yang memiliki kestabilan yang baik. Sedangkan, untuk hasil capture gambar dapat disimpan melalui google drive. Pada saat akan dikirim keluaran diberi keamanan menggunakan TLS/SSL. Hasil dari pengujian algoritma Posenet menunjukkan apabila wajah terdeteksi dengan sudut -90° sampai +90° dan jarak wajah dengan kamera di ukur mulai 10 cm – 2,5m, maka tingkat akurasi mencapai 95,39%. Untuk hasil algoritma tripod gait yang digunakan menunjukkan robot dapat stabil berjalan pada bidang datar. Sedangkan, hasil uji keamanan TLS/SSL menunjukkan hasil gambar yang dikirim dapat dienkripsi sehingga terhindar dari sniffing. Mekanisme kerja sistem monitor dan kontrol pergerakan robot hexapod SPY UMM berjalan sesuai dengan perancangan sistem karena robot dapat dikontrol oleh user melalui web server dan robot dapat mendeteksi mendeteksi wajah manusia.]]>
<![CDATA[DETEKSI DAN PREDIKSI TRAJEKTORI OBJEK BERGERAK DENGAN OMNI-VISION MENGGUNAKAN PSO-NN DAN INTERPOLASI POLYNOMIAL ]]>
<![CDATA[Novendra Setyawan]]>;
<![CDATA[Nur Alif Mardiyah]]>;
<![CDATA[Khusnul Hidayat]]>
<![CDATA[ MULTITEK INDONESIA Vol 13, No 1 (2019): Juli ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Ponorogo ]]>
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DOI: 10.24269/mtkind.v13i1.1691
<![CDATA[In the Indonesian wheeled soccer robot competition in one team consists of three robots, where one robot is a goalkeeper. In the competition the movement of robots and balls is very dynamic. So that a method is needed to predict the movement of the ball so that the goalkeeper can anticipate the movement of the ball. In this research the ball detected by digital image processing and Particle Swarm Optimization-Neural Network (PSO-NN) is used as a calibration model for object distance through omnidirectional cameras. The interpolation approach of the polynomial curve is used to obtain estimates of the model from two-dimensional data from detected objects. The results showed that the distance conversion in object detection with the PSO-NN model obtained 0.13% in percentage of average squared error (PMSE) measurement and 20% in an average prediction error.]]>
<![CDATA[Implementasi Maximum Power Point Tracking pada Photovoltaic Berbasis P&O-Fuzzy ]]>
<![CDATA[Machmud Effendy]]>;
<![CDATA[Nur Alif Mardiyah]]>;
<![CDATA[Khusnul Hidayat]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 1: Februari 2017 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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<![CDATA[Maximum Power Point Tracking (MPPT) technology is an alternative solution to improve efficiency of solar cells (photovoltaic). The main part of MPPT technology is DC-DC converter circuit and control algorithm. This paper proposes a control algorithm Perturbation and Observe (P&O)-Fuzzy on MPPT, which can improve the efficiency of solar cells, and simultaneously comparing the control algorithms P&O and P&O-Fuzzy. Synchronous buck converter is used to reduce the voltage of solar cells. The buck converter is controlled using P&O and P&O-Fuzzy algorithms. These algorithms use two inputs; change of power and change of voltage, produced by the solar cell. MPPT technology has been tested using solar cells with a capacity of 50 Watt as a source of electrical energy, battery 12V/45aH as energy storage, and resistor as load. The test results indicate that the P&O algorithm has an efficiency of 86% with rise time (tr) and steady state time (ts) at 0.45 seconds, while the P&O-Fuzzy algorithm has an efficiency of 89% with rise time (tr) and steady state time (ts) at 0.3 seconds.]]>
