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Home Automation Berbasis Gesture Control Menggunakan Motion Processing Unit Hartono Hartono; Kiki Prawiroredjo
Techné : Jurnal Ilmiah Elektroteknika Vol. 20 No. 2 (2021)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v20i2.269

Abstract

Home automation dengan pengenalan isyarat gerakan tangan dapat memberi kemudahan kepada pemilik rumah untuk mengontrol peralatan elektronik rumahnya terutama kepada para penyandang disabilitas yang memiliki keterbatasan untuk berjalan. Pada penelitian sebelumnya, perangkat pembaca isyarat berupa sarung tangan yang dilengkapi sensor akselerometer dan giroskop. Perangkat tersebut kurang fleksibel saat digunakan untuk melakukan aktivitas lain secara bersamaan sehingga dibutuhkan perangkat yang lebih wearable. Penelitian ini mengembangkan home automation system dengan pengenalan isyarat gerakan tangan menggunakan Motion Processing Unit (MPU). Perangkat dibuat dalam bentuk jam tangan digital sehingga lebih praktis saat digunakan. Sensor MPU akan mendeteksi isyarat gerakan tangan dimana setiap isyarat gerakan diproses oleh Arduino Nano dan didefinisikan sebagai suatu perintah yang akan dikirim ke perangkat penerima melalui modul radio frekuensi. Setelah diuji perangkat yang dibuat dapat mengontrol peralatan elektronik rumah dengan isyarat gerakan tangan sesuai spesifikasi yang diinginkan dengan nilai error sebesar 2,5%. Sedangkan jarak maksimum perangkat pemancar yang masih dapat direspon oleh penerima adalah 10 m tanpa penghalang.
Design of Fuzzy Logic Controller for Inductor Based Cell Balancing in Battery Management System Hartono Hartono; Edi Leksono
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 2 (2023): List of the Accepted Article for Future Issues
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i2.4359

Abstract

Lithium-ion batteries are a popular energy storage used in various applications including electronic devices, electric vehicles, renewable energy systems, and microgrids. The limitations in capacity and voltage of individual battery cells necessitate arranging them in series and parallel configurations to meet the energy demands of the system. However, connecting cells in series can potentially lead to charge imbalance among cells, resulting in reduced battery pack capacity and triggering safety concerns. Numerous topologies and control methods for battery cell balancing systems have been explored in previous research. In this study, two fuzzy logic controllers with different membership function shapes are designed to drive the duty cycle of PWM signals for inductor-based cell to cell balancing. Based on simulation results, the designed controllers demonstrate good performance compared to conventional methods.
Design of PID Controller using LQR-Based Parameter Selection for DC Motor Position Control Hartono, Hartono; Budiarto, Eka; Nasution, Henry
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 12 No 1 (2025): Jurnal Ecotipe, April 2025
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v12i1.4536

Abstract

DC motors are widely applied in various fields due to their simple design, ease of control, and capability to generate high torque at low speeds. Position control of DC motors is crucial to ensure the performance and accuracy of the motorized electro-mechanical systems. The most common conventional control utilized in DC motors is the Proportional Integral Derivative (PID) controller. However, selecting the proper parameters for that controller is challenging. In this paper, the Linear Quadratic Regulator (LQR) approach is used to determine PID controller parameters for DC motors. The LQR approach, based on optimal control theory, offers a systematic alternative to traditional trial-and-error methods for tuning PID controllers. The proposed method improves the performance and efficiency of DC motors by optimizing the PID parameters, ensuring precise control and energy utilization.