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Predictive controllers for synchronous reluctance motor drive systems Mubarok, Muhammad Syahril; B., Nur Vidia Laksmi; Liu, Tian-Hua
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp98-108

Abstract

This paper proposes the design and implementation of predictive controllers for synchronous reluctance motor drive systems to enhance their dynamic responses. The predictive speed and current controllers in this paper are designed in systematic procedures. The predictive speed controller is implemented by using Laguerre function procedure. The Laguerre function is used to simplify the algorithm and to minimize the execution time of the digital signal processor. For predictive current controller, a finite control set method improves the current tracking ability. The measured currents are used to predict the future phase-current based on the motor model. The optimal control inputs of both predictive controllers are determined by using a cost function minimization method. Experimental results show the proposed drive system provides a wide adjustable speed range, from 2 r/min to 1800 r/min. It has better performance than a proportional-integral (PI) controller including fast rise time, which is 0.9 second, small steady state error, which is 0.32 r/min, and small current ripples. A 32-bit floating-point digital signal processor, TMS-320-F-28335 DSP, is employed to implement the control algorithms.
Pelatihan Perangkat Lunak Matlab Pada Sistem Tenaga Listrik Bagi Mahasiswa Institut Teknologi Adhi Tama Surabaya Wardani, Ayusta Lukita; Widyartono, Mahendra; Aribowo, Widi; Rahmadian, Reza; Hermawan, Aditya Chandra; Laksmi, Nur Vidia
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 8, No 1 (2024): Mei
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2024.v8i1.5312

Abstract

The use of software developed by The MathWorks is increasingly massive due to its ease of operation. Matlab software can make it easier to optimize and also model a system design so that engineering students, especially Electrical Engineering, need to be equipped with the knowledge and skills to solve Electrical Power System problems. So in this activity, training was carried out in using the software, starting from running Matlab Online, creating code such as basic calculation operations, forming matrices, plotting data and using Simulink which contains a collection of block diagrams. The level of success of this training is measured through two indicators. And it can be concluded that there is an increase in knowledge and skills through comparing the Pre-Test and Post-Test Scores as well as analysis of the Paired Sample T Test using Ms. Excell 
Analisis Potensi Daya Listrik PLTS Atap di Gedung K4 Universitas Negeri Surabaya Wardani, Ayusta Lukita; Aribowo, Widi; Widiyartono, Mahendra; Rahmadian, Reza; Hermawan , Aditya Chandra; Laksmi B, Nur Vidia
Elposys: Jurnal Sistem Kelistrikan Vol. 11 No. 3 (2024): ELPOSYS vol. 11 no. 3 (2024)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v11i3.6348

Abstract

In order to utilize the potential of solar energy and support the government in its energy transition efforts and achieve Net Zero Emissions, it is necessary to utilize solar power plants more massively. One thing that can be done is the installation of solar panels on the roof of a building called Rooftop PLTS. This rooftop PLTS is designed on the roof of the K4 Unesa building with an ongrid system because lecture activities only exist from morning to evening. Research conducted to analyze the potential of electrical energy on the roof of the K4 building using OpenSolar software. From the simulation results, the roof of the K4 building can be designed to install 70 solar panels with the LR4-72HPH-450M type and 5 Goodwe GW5K-DT type inverters which can produce 35,478 kWh per year with a PLTS capacity of 31,500 Wp. From the shadow simulation results, it is found that the selected location is optimal because there are no shadows of other buildings, trees or shadows from the solar panels themselves. Then from the POA analysis, it is found that between April to September has a relatively large amount of generation while in February the lowest energy is generated.
Transformasi Pembelajaran Berbasis Teknologi: Efektivitas Pelatihan Kreator Konten dalam Meningkatkan Profesionalisme Guru Vidia Laksmi B., Nur; Rizki Ariyanto, Sudirman; Tri Umaroh, Susi; Nurlita, Ita; Lukita Wardani, Ayusta; Rahmadian, Reza
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 8, No 2 (2024): November
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2024.v8i2.6340

Abstract

Dalam era globalisasi dan kemajuan teknologi, pendidikan menghadapi tantangan untuk memenuhi Sustainable Development Goals (SDGs), khususnya SDG ke-4 yang menekankan akses pendidikan yang inklusif dan berkualitas. Transformasi pembelajaran melalui teknologi menjadi penting untuk meningkatkan keterlibatan siswa dan efektivitas pengajaran. Namun, peran guru sebagai kreator konten yang efektif masih memerlukan perhatian khusus untuk menciptakan materi pembelajaran yang menarik. Kegiatan Pengabdian kepada Masyarakat (PKM) ini dilakukan untuk memfasilitasi kebutuhan pelatihan untuk guru agar dapat menjadi kreator konten di SMP Labschool Unesa 2, tujuannya meningkatkan profesionalisme guru dan kualitas pembelajaran. Metode PKM meliputi (1) pengetahuan tentang YouTube; (2) aplikasi VN - Video Editor Maker; (3) strategi konten pembelajaran yang menarik; (4) etika, hak cipta, dan pelanggaran pada konten digital; serta (5) mempromosikan konten pembelajaran digital. Hasil pelatihan menunjukkan peningkatan signifikan dalam keterampilan peserta, dengan rerata peningkatan mencapai 20%. Peningkatan terbesar terjadi pada strategi konten pembelajaran yang menarik, mencerminkan efektivitas pelatihan dalam mempersiapkan guru untuk merancang konten yang edukatif dan interaktif. Kesimpulan menunjukkan bahwa pelatihan kreator konten berhasil meningkatkan keterampilan teknis dan pemahaman etika di kalangan guru, memberikan kontribusi positif terhadap pengembangan profesional dan kualitas pembelajaran di Sekolah Menengah Pertama (SMP) Labschool Unesa 2.
Cascaded AC-DC parallel boost-flyback converter for power factor correction Laksmi B., Nur Vidia; Mubarok, Muhammad Syahril; Effendi, Moh. Zaenal; Aribowo, Widi; Liu, Tian-Hua
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp224-234

Abstract

A two-stage power factor correction (PFC) topology achieves a higher power factor quality and lower harmonic distortion than a single-stage converter. This paper introduces a two-stage PFC topology using a parallel boost and flyback converter which is employed as a voltage regulator The main boost converter is used for PFC and the other is the active filter circuit. The filter is implemented to improve the quality of phase-current and eliminate the switching loss. Furthermore, a reaction curve of Ziegler-Nichol’s method determines the controller parameter for cascaded PFC converter circuit. Simulated and experimental results are presented to validate the proposed method. The total harmonic distortion (THD) value decreases significantly from 83.35% become 0.98% in the simulation. In addition, experimental results show that the current response has good performances, including less harmonics, higher power factor, and lower THD value compared to without a PFC circuit. The PF increased from 0.43 become 0.96, the THD value decreased from 49.4% become 16.2%, and contains a small number of harmonics. The proposed controller method has better responses than the conventional one, including small steady-state error, fast rise time and settling time. A microcontroller (MCU), type STM32F407VG, produced by STMicroelectronics is used to execute the proposed control in both converters.
Design of Automatic Battery Charger Using Forward DC-DC Converter for Solar Home Energy Vidia Laksmi B, Nur; Muhammad Syahril Mubarok; Fithrotul Irda Amaliah; As’ad Shidqy Aziz; Daeng Rahmatullah; Dimas Herjuno; Habibi, Muhammad Afnan
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 2 No. 1 (2025)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v2i1.35817

Abstract

The utilization of solar energy as a renewable and environmentally friendly energy source, which is inexhaustible, is an ideal solution to meet the growing demand for electricity. Solar Home Energy refers to a house powered by solar energy. The solar energy is subsequently stored in batteries using a battery charger. In this paper, a forward DC-DC converter is used as a battery charger to supply power to a self-sufficient house from solar energy, stored in a 96 V 45 Ah battery. A fuzzy logic controller is employed to regulate the output of the forward DC-DC converter, ensuring a constant charging voltage according to the set point. The output of this project is designed for 110 V 4.5 A; however, in practice, the forward DC-DC converter only achieved a charging voltage of 100.5 V, resulting in an error of 8.63% from the planned value. Additionally, the charging current reached 1.4 A, leading to a significant error of 63.89% from the planned charging current.
Solar charging controller using DC-DC buck converter with cascaded PI controller for a sustainable renewable energy system Laksmi B., Nur Vidia; Muhammad Syahril Mubarok; Aribowo, Widi; Umaroh, Susi Tri; Ariyanto, Sudirman Rizki; Nurlita, Ita; Rahmadian, Reza
Sustinere: Journal of Environment and Sustainability Vol. 9 No. 1 (2025): pp. 1-127
Publisher : Center for Science and Technology, IAIN Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/sustinere.jes.v9i1.444

Abstract

The renewable energy system (RES) has recently become hot topic due to its unlimited, green energy potential, and the maturity of its technology. A solar charging controller (SCC) is required to regulate parameters for the battery and is an essential component for sustainable and renewable energy usage. An SCC based on a DC-DC Buck converter with cascaded proportional-integral (PI) controller is used in the system for managing the current and voltage loops, thereby preventing battery overcharging. The control parameters are determined using the Ziegler-Nichols method based on the reaction curve. A first -order system is employed due to the open-loop responses show no overshoot and oscillations. MATLAB software is used for both simulation and controller design. Simulations are conducted to validate the proposed SCC with the cascaded controller. Variations in the state of charge (SoC) are presented in two cases: without and with the controller. The SoC is set 20%, 50%, and 95%. A high SoC percentage indicates that the battery is near the full capacity, whereas a low percentage indicates that battery is near empty. Using the cascaded controller, both current and voltage responses at different SoC levels demonstrate satisfactory performance, including rapid transient responses, minimal overshoot, small ripples, and robustness.
Sistem Monitoring Daya Listrik Untuk Konsumen di Lingkungan Perumahan Menggunakan LoRa SX1278 dan Internet Of Things Berbasis Node Red. Ainul, Safira Tri Handini; Wardani, Ayusta Lukita; Aribowo, Widi; Laksmi, Nur Vidia
JURNAL TEKNIK ELEKTRO Vol. 14 No. 3 (2025): SEPTEMBER 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v14n3.p275-282

Abstract

Sumber kekhawatiran dan kegelisahan para pelanggan terutama ibu rumah tangga adalah kenaikan tarif listrik secara tiba-tiba. Pemeriksaan meteran listrik berkala oleh petugas PLN masih dilakukan secara manual mendatangi rumah ke rumah. Sebagai solusinya, penelitian ini mengembangkan system monitoring daya listrik dengan komunikasi jarak jauh menggunakan komunikasi LoRa dan Internet of Things. Metode penelitian ini menggunakan metode eksperimen dengan pengujian alat, jangkauan LoRa pada lingkungan perumahan dan pengujian sensor PZEM-004T. Hasil dari prototipe alat system monitoring daya Listrik ini adalah LoRa SX1278 dengan antenna 5dBi pada lingkungan perumahan dapat menjangkau hingga 150 meter dengan kondisi LoS (Line of Sight) dan 80 meter dalam kondisi NLoS (Non Line of Sight). Pengujian pada sensor PZEM-004T memiliki presentase error terkecil sebesar 0,6% pada pengukuran tegangan dan 1,21% pada pengukuran arus dengan 3 buah beban dengan daya total 820W. Sebaliknya, persentase error terbesar pada percobaan alat elektronik dengan beban rendah 70W mencapai 2,51% untuk persentase error  tegangan dan 4,8% persentase error arus. Dengan hasil tersebut PZEM 004T cukup baik untuk sistem monitoring daya listrik rumah tangga. Hasil penelitian menunjukkan bahwa sistem dapat mempermudah pelanggan dalam memantau konsumsi listrik secara real time dan dapat mendukung petugas PLN dalam mendata meteran listrik tanpa harus melakukan pencatatan manual.
Monitoring battery charging using Node-RED Vidia Laksmi B, Nur; Muhammad Syahril Mubarok; Reza Rahmadian; Mahendra Widyartono; Ayusta Lukita Wardani; Aditya Chandra Hermawan
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.33917

Abstract

The need for a smart grid has been spurred by the growth of distributed generation, the aging of the current grid infrastructure, and the desire to alter networks. The development and enhancement of smart grid technology is significantly facilitated by the Internet of Things (IoT) technology. Batteries play a crucial role in the energy storage of electrical systems, including smart microgrids and electric vehicles. To enhance performance and prolong battery life, a Battery Monitoring System (BMS) is required to manage the energy storage process dynamics within the battery. Battery life prediction contributes to the consistent and efficient operation of battery-powered devices. This research presents battery charging monitoring using Nodered. Apart from that, the battery charging feature uses a cut-off concept. The cut off on the battery is to prevent the battery from over-discharging which can damage the battery and shorten its lifespan. This research carried out validation using 3 case studies on battery charging. Validation of measurements uses a comparison between the INA 219 sensor and a multimeter. From experiments, current testing from 3 case studies, it was found that the average difference in current sensor error was 0.19%.
PENERAPAN MULTILAYER NEURAL NETWORK UNTUK PREDIKSI DIABETES MELLITUS TIPE 2: PENDEKATAN MULTI-ALGORITMA UNTUK MENINGKATKAN AKURASI DAN PRESISI Aziz, As’ad Shidqy; Amaliah, Fithrotul Irda; Rahmatullah, Daeng; Laksmi B, Nur Vidia
SISTEM Jurnal Ilmu Ilmu Teknik Vol 20 No 3 (2024)
Publisher : Fakultas Teknik Universitas Wisnuwardhana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/sistem.v20i3.292

Abstract

Diabetes melitus, penyakit metabolik kronis yang ditandai dengan peningkatan kadar glukosa darah akibat disfungsi sekresi insulin, resistensi insulin, atau keduanya tetap menjadi tantangan kesehatan global yang signifikan. Penelitian ini berfokus pada prediksi diabetes tipe 2 menggunakan model Multilayer Neural Network yang dioptimalkan melalui empat algoritma pelatihan: Levenberg-Marquardt, Resilient Backpropagation, Scaled Conjugate Gradient, dan Bayesian Regularization. Algoritma ini dievaluasi menggunakan kumpulan data yang berisi pengukuran diagnostik dari 768 pasien wanita, termasuk fitur seperti kadar glukosa, tekanan darah, BMI, dan riwayat keluarga. Penelitian ini menyoroti kemampuan jaringan saraf dalam mengenali pola kompleks dalam data medis dan mengurangi masalah seperti minimum lokal dan overfitting melalui metode pelatihan tingkat lanjut. Hasil menunjukkan bahwa algoritma Bayesian Regularization menghasilkan akurasi tertinggi (90,8%) dan presisi (92,9%) tetapi membutuhkan waktu pelatihan yang lebih lama (623 epoch). Sebaliknya, algoritma Scaled Conjugate Gradient menunjukkan proses pelatihan tercepat tetapi dengan mengorbankan akurasi yang lebih rendah (73,4%) dan presisi (85,9%).