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Research Article |

Advanced Artificial Neural Network for Steering and Braking Control of Autonomous Electric Vehicle

Author(s): Eka Nuryanto Budisusila*, Sri Arttini Dwi Prasetyowati, Bustanul Arifin, Muhammad Khosyi’in, Agus Adhi Nugroho and Muhamad Haddin

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 3

Publisher : FOREX Publication

Published : 10 August 2024

e-ISSN : 2347-470X

Page(s) : 870-880

DOI: https://doi.org/10.37391/IJEER.120318

Abstract

Sensors are necessary for an autonomous electric vehicle (AEV) system to identify its environment and take appropriate action, such avoiding obstacles and crashes. Despite their limitations about color, light, and non-metallic items, cameras, radar, and lidar are widely employed to detect objects surrounding a vehicle. Ultrasonic sensors are weather and light-resistant. Thus, the goal of this work was to create object detectors by combining multiple long-range ultrasonic sensors into a multi-sensor circuit. The Arduino processor incorporates an artificial neural network that uses the advanced artificial neural network as a novel approach to control the sensors. There are two steps to this method: offline training and implementation test. The most ideal neural network weights are found offline using the adaptive back propagation algorithm, and the best fixed weight is then embedded into the neural network software on Arduino for implementation test. Because the system can sense more detail about the vehicle's surroundings and accurately avoid obstacles, the definition of actions by taking the object's distance into consideration is better. As a result, the training can produce an output that is closed to the target with 0.001 errors.

Keywords: Electric vehicle, AEV, ANN, ultrasonic.




Eka Nuryanto Budisusila*, Universitas Islam Sultan Agung; Email: ekanbs@unissula.ac.id

Sri Arttini Dwi Prasetyowati, Universitas Islam Sultan Agung; Email: arttini@unissula.ac.id

Bustanul Arifin, Universitas Islam Sultan Agung; Email: bustanul@unissula.ac.id

Muhammad Khosyi’in, Universitas Islam Sultan Agung; Email: chosyi@unissula.ac.id

Agus Adhi Nugroho, Universitas Islam Sultan Agung; Email: agusadhi@unissula.ac.id

Muhamad Haddin, Universitas Islam Sultan Agung; Email: haddin@unissula.ac.id

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Eka Nuryanto Budisusila, Sri Arttini Dwi Prasetyowati, Bustanul Arifin, Muhammad Khosyi’in, Agus Adhi Nugroho and Muhamad Haddin (2024), Advanced Artificial Neural Network for Steering and Braking Control of Autonomous Electric Vehicle. IJEER 12(3), 870-880. DOI: 10.37391/IJEER.120318.