Real-Time Car Parking System Using Arduino Control

Moshin, Ahmed Raza; Khalid, Mohd; Awais, Muhammad; Ahmad, Kinza T.

doi:10.18488/journal.76.2021.82.41.63

Cited by 3 publications

(1 citation statement)

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“…ROS system through the registers of the underlying hardware control is more complex, in order to meet the deep learning arithmetic, and improve the system's development convenience and expandability [8], this paper designs a material handling robot system architecture based on Arduino MEGA2560 + NVIDIA Jetson Nano, as shown in Figure 1 below. Arduino MEGA2560 is responsible for sensor data acquisition and underlying hardware control, with motor drive, gyroscope, radar module, etc.…”

Section: System Designmentioning

confidence: 99%

Research on material transportation robot based on PSO-PID controller

Zhang

2024

Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023)

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The paper introduces a small material handling robot system, the system uses Arduino MEGA2560 + NVIDIA Jetson Nano master control to build the whole machine architecture, making full use of its underlying control advantages and arithmetic advantages, which can solve the problem of insufficient arithmetic performance of MCU system and insufficient convenience of the underlying hardware control of ROS system in the traditional robot control scheme. The system uses serial proportional integral derivative(PID) control algorithm to achieve closed-loop control of the robot, and realises selftuning of PID parameters by particle swarm optimization(PSO) to solve the problems of difficult to guarantee the accuracy of manual parameter adjustment and long parameter adjustment cycle. The paper uses the test vehicle to test 2 kinds of motion control scenarios, and uses MATLAB to track the process of particle swarm parameter self-tuning, and obtains the conclusion that the particle swarm self-tuning is highly efficient and the accuracy is reliable.

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Section: System Designmentioning

confidence: 99%