RANCANG BANGUN ALAT OTOMATISASI PENGEREMAN KENDARAAN BERMOTOR BERBASIS FUZZY LOGIC

  • Patriot Teguh Santoso Gresik
  • Denny Irawan

Abstract

Safety on the road is our rights and obligations as road users, where we must take care of ourselves and others. Road users must understand the applicable regulations and the physical condition of their vehicles before driving. In reality, this is difficult to achieve because the accident rate is still high. One of the factors causing accidents is vehicles that are not safe due to the driver's ignorance of safe driving procedures and the technology of the vehicle he is driving. The problem that often occurs is excessive heat (overheating) in the braking system resulting in failure to slow down the vehicle (fading). To overcome the problems mentioned above, we made a prototype of a motor vehicle braking automation tool so that it can minimize failures in motor vehicle braking so as to minimize accidents. The method used by this tool is to reduce the speed of the vehicle based on the temperature in the drum and the speed of the vehicle by holding the propeller shaft rotation using a magnetic field magnitude. This controller system is designed using the Arduini Uno microcontroller, MLX90614 GY-906 Non Contact Temperature Sensor, IR Infrared Barrier Obstacle Avoidance Sensor for the speedometer which will work using Fuzzy Logic analysis. This design works based on an analysis of the temperature and speed of the vehicle, if a certain temperature and speed is reached then an electric current will flow to the stator by holding the rotation of the propeller rotor so that the propeller rotation of the vehicle will rotate slowly.

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Published
Aug 15, 2024
How to Cite
SANTOSO, Patriot Teguh; IRAWAN, Denny. RANCANG BANGUN ALAT OTOMATISASI PENGEREMAN KENDARAAN BERMOTOR BERBASIS FUZZY LOGIC. E-Link: Jurnal Teknik Elektro dan Informatika, [S.l.], v. 19, n. 2, p. 225-232, aug. 2024. ISSN 2656-5676. Available at: <https://journal.umg.ac.id/index.php/e-link/article/view/8267>. Date accessed: 21 nov. 2024. doi: http://dx.doi.org/10.30587/e-link.v19i2.8267.
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Articles