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Genetic algorithm-enhanced linear quadratic control for balancing bicopter system with non-zero set point Apriaskar, Esa; Prastiyanto, Dhidik; Utomo, Aryo Baskoro; Manaf, Akhyar Abdillah; Amelia, Ilya; Ilham, Dimas Alfarizky; Bilqis, Viyola Lokahita; Photong, Chonlatee
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.105-113

Abstract

Bicopter is an unmanned aerial vehicle (UAV) with the advantage of saving energy consumption. However, the unique two rotors design presents a challenge in designing a controller that achieves good stability, fast settling time, and the ability to overcome oscillations simultaneously. This article proposes a new control method for bicopter that uses a genetic algorithm optimization approach in the linear quadratic (LQ-GA) control method. The GA is used to search for the best weighting matrix parameters, Q and R, in the Linear Quadratic (LQ) control scheme. The proposed control method was tested on a balancing bicopter test platform with an input in the form of difference in pulse width modulation (PWM) signals for both rotors and an output in the form of roll angle. The control system was evaluated based on the stability of the transient response and the generated control signal. The results of the tests showed that the proposed LQ-GA control method has better stability, faster settling time, and smaller overshoot than the existing PI and standard LQ control methods. Therefore, the proposed LQ-GA control method is the most suitable for use in a balancing bicopter system with a non-zero setpoint.
TOILET RAMAH PUBLIK DENGAN SISTEM DETEKSI CERDAS TUNA DAKSA MENGGUNAKAN ALGORITMA YOLOV5 Arvina Rizqi Nurul'aini; Azrul Hanif Dinofa; Niko Andriano; Mario Norman Syah; Dhidik Prastiyanto
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

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Abstract

Penyediaan fasilitas umum yang inklusif merupakan bagian penting dalam mewujudkan kesejahteraan sosial, khususnya bagi penyandang disabilitas. Salah satu fasilitas yang perlu mendapat perhatian adalah toilet umum yang ramah bagi penyandang disabilitas. Namun, sering terjadi penyalahgunaan oleh pengguna non-disabilitas yang mengakses toilet khusus tersebut, sehingga mengurangi kenyamanan dan aksesibilitas bagi mereka yang sangat membutuhkan. Penelitian ini mengembangkan sistem deteksi cerdas berbasis computer vision menggunakan algoritma YOLOv5 untuk mengidentifikasi pengguna kursi roda sebagai prasyarat akses toilet. Dataset yang digunakan diperoleh dari platform Roboflow yang kemudian dilatih menggunakan model YOLOv5m dengan parameter pelatihan sebanyak 150 epoch dan ukuran batch sebanyak 16. Hasil pelatihan menunjukkan bahwa model mampu mendeteksi pengguna kursi roda dengan tingkat akurasi sebesar 83%. Hasil tersebut menunjukkan bahwa pendekatan berbasis YOLOv5 cukup efektif dalam mendukung pengembangan sistem akses toilet yang lebih adil dan tepat sasaran. Diharapkan penerapan teknologi ini dapat membantu menciptakan fasilitas publik yang lebih inklusif dan meningkatkan kesadaran akan pentingnya aksesibilitas bagi penyandang disabilitas.
Improvement of DSOGI PLL Synchronization Algorithm with Filter on Three-Phase Grid-connected Photovoltaic System Rofiatul Izah; Subiyanto Subiyanto; Dhidik Prastiyanto
Jurnal Elektronika dan Telekomunikasi Vol. 18 No. 1 (2018)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v18.35-45

Abstract

Synchronous Reference Frame Phase Locked Loop (SRF PLL) has been widely used for synchronization three-phase grid-connected photovoltaic (PV) system. On the grid fault, SRF PLL distorted by negative sequence component and grid harmonic that caused an error in estimating parameter because of ripple and oscillation. This work combined SRF PLL with Dual Second Order Generalized Integrator (DSOGI) and filter to minimize ripple and minimize oscillation in the phase estimation and frequency estimation. DSOGI was used for filtering and obtaining the 90o shifted versions from the vαβ signals. These signals (vαβ) were generated from three phase grid voltage signal using Clarke transform. The vαβ signal was the inputs to the positive-sequence calculator (PSC). The positive-sequence vαβ was transformed to the dq synchronous reference frame and became an input to SRF-PLL to create the estimation frequency. This estimation frequency from SRF PLL was filtered by the low-pass filter to decrease grid harmonic. Moreover, the output of low-pass filter was a frequency adaptive. The performance of DSOGI PLL with filter is compared with DSOGI PLL, SRF PLL, and IEEE standard 1547(TM)-2003. The improvement of DSOGI PLL with filter gave better performances than DSOGI PLL and SRF PLLbecause it minimized ripples and oscillations in the phase and frequency estimations.