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Design of IoT-based Vehicle Cabin Temperature and Humidity Data Acquisition System Ridwan, Muhammad; Purwanto, Wawan; Saputra, Hendra Dani; Setiawan, M. Yasep; Abratiguin, Joel O.
AEEJ : Journal of Automotive Engineering and Vocational Education Vol 6 No 1 (2025): Vol 6 No 1 (2025) : AEEJ : Journal of Automotive Engineering and Vocational Educa
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/aeej.v6i1.270

Abstract

The rising temperature of vehicles in parking lots under the sun is a major cause of poisoning caused by harmful gases in the blood, and the most toxic gas is ammonia (NH3). Exposure to high concentrations of ammonia gas can cause lung damage and death. This research aims to design and build an Internet of Things (IoT)-based vehicle temperature monitoring system using the DHT11 sensor. The DHT11 sensor is able to detect temperature and humidity in real-time with a sufficient level of accuracy, one of the main objectives in the acquisition of temperature data in the vehicle cabin is to improve passenger comfort. Temperatures that are too high or too low can reduce ride comfort. One of the main objectives in the acquisition of temperature data in the vehicle cabin is to improve passenger comfort. Temperatures that are too high or too low can reduce ride comfort. By monitoring and controlling the temperature in the cabin in real-time, the cooling (air conditioning) and heating systems can function more efficiently to maintain the optimal temperature.
Design and simulation of BLDC motor control using MATLAB simulink: A detailed approach Putra, Dwi Sudarno; Purwanto, Wawan; Risfendra, Risfendra; Abratiguin, Joel O.; Baharudin, Agus; Huda, Thorikul
Mechanical Engineering for Society and Industry Vol. 5 No. 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.13370

Abstract

Brushless Direct Current (BLDC) motors are increasingly utilized across various applications due to their high efficiency and reliability. However, their control requires precise handling, especially during the commutation process. This study presents a detailed simulation design for BLDC motor control using MATLAB Simulink, focusing on the Six-Step Commutation method and PID-based speed regulation. The methodology involves constructing an open-loop model to analyze commutation behavior, followed by a closed-loop system using PID controllers with automatic parameter tuning. The simulation demonstrates accurate replication of hall sensor signals, back-EMF waveforms, switching patterns, and motor responses. Results reveal that the PID controller effectively maintains target speed across varying reference inputs and load conditions, while phase current and electromagnetic torque increase proportionally with speed and load. Results confirm correct switching in open loop and show that, in closed loop, the controller maintains speed within ±2% of the target with brief, well-damped transients. Phase current and torque responses scale with speed and load, informing practical refinements (anti-windup, ripple mitigation, soft-commutation timing). The findings certify that simulation is a vital step to ensure functional logic and hardware readiness, minimizing risks and enhancing system performance prior to physical implementation.