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Collision Avoidance in Mini Autonomous Electric Vehicles Using Artificial Potential Fields for Outdoor Environment Saputro, Joko Slamet; Juliatama, Hanif Wisti; Adriyanto, Feri; Maghfiroh, Hari; Apriaskar, Esa
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1708

Abstract

The rapid advancement of technology is driving the transition toward Society 5.0, where intelligent transportation systems enhance safety, efficiency, and sustainability. One of the biggest challenges in transportation is the high frequency of vehicle accidents, with approximately 80% attributed to driver error. To mitigate this, Advanced Driver Assistance Systems (ADAS) have been developed to improve vehicle autonomy and reduce accidents. This research proposes a potential field-based collision avoidance system for autonomous vehicle navigation, where the vehicle and obstacles act as positive poles, repelling each other, while the target destination serves as a negative pole, attracting the vehicle. Experimental results demonstrate a GPS positioning error of 1.55 m with a 66% success rate and LiDAR sensor accuracy of 96.4%, exceeding the required 95% threshold. Obstacle avoidance was tested with two safety thresholds (2 m and 2.5 m) across single- and two-obstacle scenarios. The 2 m threshold resulted in shorter travel distances (16.406 m vs. 16.535 m for 2.5 m) and faster completion times (19.036 s vs. 19.144 s), while the 2.5 m threshold provided greater clearance. GPS accuracy was significantly influenced by HDOP values and satellite count, with lower HDOP improving trajectory precision. The system successfully adjusted its trajectory in response to obstacles, ensuring effective real-time navigation.
Performance Analysis of 18-Slot 12-Pole Ring-Type Orbital Electric Motor With Variations Of Neodymium and Low-Carbon Steel Rotors Using Femm 4.2 Software Aryadi, Widya; Putra Julian Valentino, Michael; Apriaskar, Esa
Rekayasa Vol. 23 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rekayasa.v23i1.38037

Abstract

This study aims to evaluate the performance of a ring-type orbital electric motor by examining the effects of variations in magnet position and configuration on flux linkage, force, and torque, and by comparing the results with those of a radial electric motor. The method employed is a 2D numerical simulation using FEMM 4.2 software. The design variations include the use of 0% (Pure) permanent magnets as well as magnets with lamination levels of 25%, 35%, and 50% for the orbital motor type. The simulation results indicate that the orbital motor with 0% (Pure) permanent magnets achieves the highest flux linkage of 3.13 Weber and the highest maximum torque of 336 Nm. For maximum force, the orbital motor with 25% laminated magnets shows the best result at 5207 N. Conversely, the radial motor with 0% (Pure) permanent magnets exhibits the lowest performance across all three parameters. Additionally, increasing the magnet lamination percentage does not always improve performance, as a decline is observed at 50% lamination. Overall, the orbital motor demonstrates superior performance compared to the radial motor.