Claim Missing Document
Check
Articles

Found 13 Documents
Search

RANCANG BANGUN WIRELESS SENSOR NETWORK PERINGATAN DINI LONGSOR BERBASIS MIKROKONTROLER Nugroho, Denny; Uswarman, Rudi
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 13 No. 3 (2019)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v13n3.2126

Abstract

Performance Evaluation of a Microcontroller-Based 350 W BLDC Motor Control System Duwi Hariyanto; Muhammad Dianra Amani Ihsan; Basril Amien Mana; Dahril Khudni; Rudi Uswarman; Dean Corio; Nia Saputri Utami; Indarta Kuncoro Aji
Journal of Energy, Material, and Instrumentation Technology Vol 7 No 2 (2026): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.408

Abstract

Electric vehicles are increasingly adopted as a strategic solution for reducing carbon emissions, yet their overall performance is strongly influenced by reliability, responsiveness, and energy efficiency. This study presents a performance evaluation of a microcontroller-based speed-control system for a 350 W brushless DC (BLDC) motor, developed using low-cost components with potential for local manufacturing. The proposed system incorporates a throttle input, Pulse Width Modulation (PWM) for speed regulation, three Hall-effect sensors for rotor position feedback, and an Arduino Nano controller integrated with an IR2110 driver and a three-phase HY4008 MOSFET inverter. A series of subsystem level tests, covering the power supply, control units, signal amplification, sensing, and motor operation, were conducted under no-load and loaded conditions using a 250 W generator as the mechanical load. The results indicate that the power supply remained stable within 50.5 50.7 V, and the IR2110 effectively amplified the 5.119 V PWM signal to 10.41 11.47 V. Hall sensor frequency increased from 129 Hz at 30% throttle to 179 Hz at 100% throttle, reflecting improved commutation synchronization with rising rotor speed. The motor achieved a speed increase of 90.8% from 220.7 rpm to 421.2 rpm under no-load, whereas under load it increased from 137.8 rpm to 356.4 rpm (an increase of 158.6%). These findings confirm that increasing the PWM duty cycle enhances electromagnetic torque and maintains rotor-stator synchronization across varying load conditions. The study demonstrates that a low-side PWM strategy with six-step commutation can be effectively implemented using low-cost hardware, supporting domestic innovation in electric vehicle technology and contributing to sustainable, low-emission transportation development.
Adaptive Sliding Mode Control with a Nonlinear Sliding Surface for DC-Bus Voltage Regulation in a Renewable-Energy-Based DC Microgrid Rudi Uswarman; Rifqi Firmansyah; Firmansyah Nur Budiman; Taufal Hidayat; Triawan Nugroho
Journal of Fuzzy Systems and Control Vol. 4 No. 3 (2026): Vol. 4 No. 3 2026
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v4i3.410

Abstract

This study proposes an adaptive sliding mode control (ASMC) scheme incorporating a nonlinear sliding surface (NSS), denoted ASMC-NSS, for direct-current (DC)-bus voltage regulation in a renewable-energy-based DC microgrid. ASMC augments conventional sliding mode control (CSMC) through channel-wise switching-gain scheduling based on the integral absolute error (IAE), while the NSS introduces bounded, state-dependent scaling of the current-tracking surface. The gain schedule adjusts the switching authority as the accumulated tracking error crosses prescribed thresholds, whereas the NSS shapes the reaching dynamics to improve transient tracking and suppress overshoot. The controller is applied to a system integrating a wind turbine, a photovoltaic (PV) array, and battery energy storage. MATLAB/Simulink comparisons with CSMC and ASMC without the NSS show that ASMC-NSS reduces the current-tracking IAE by 90.5% and 87.3%, respectively, and achieves a current settling time of 0.054 s. It maintains the 500 V DC bus with a maximum overshoot of 0.28 V and a 0.02 s recovery time to the ±0.5 V band. Lyapunov analysis establishes asymptotic stability of the ideal inner current loops and uniform ultimate boundedness under bounded matched uncertainties.