Year: 2025
Type: article
Abstract: The travel method of vehicles is mostly performed with fuel energy from gasoline, which causes problems with pollution to the environment.This research proposes the electric energy of two-wheel electric balancing (TWEB) based on steering control and machine vision.The design of usability applies a 14-inch 350-watt DC brushless motor with two wheels to handle a load of 80 kilograms.The steering control is a PID controller with a gyroscope sensor model MPU6050, which measures angular and acceleration velocity with a rotary encoder 600 pulses/revolution.PID control increases performance with the Kalman filter.The rest of the autonomous moving indoors with machine vision uses machine learning with a board Raspberry Pi Model 4B, feeding images from a webcam.Custom dataset from training within an indoor environment based on YOLOv8 performs mode autonomous moving.Pre-processing with Bluetooth, self-balancing mode, prepares for autonomous indoor navigation.The proposed method also features self-balancing with a PID control, as shown in a graph, which can respond with time minimized.TWEB with steering control and machine vision is simple and improves to support future usage better than the traditional method.
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414792366
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