2 research outputs found

    The Design of Distance-Warning and Brake Pressure Control Systems Incorporating LiDAR Technology for Use in Autonomous Vehicles

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    This research presents the design of a brake fluid pressure warning and control system for autonomous vehicles (AVs) used on university campuses to control brake fluid pressure and measure the proximity of objects or obstacles in front of the vehicles using LiDAR. The goal was to reduce the jerking of the vehicle caused by the conventional braking system, which may cause danger to the user. We initially changed the existing brake system, which uses human braking force, to electric motor braking and tested it in a closed area (a test track) before actual use. This research was divided into two parts: Part 1—using LiDAR to create warnings in case there are obstacles in front of the vehicle and Part 2—controlling brake fluid pressure using a linear motor and a PD controller. Under the test conditions employed, at a speed of 20 km/h, the total load of passengers is 600 kg. The design results regarding the PD controller with the most suitable values of the system that prevent the vehicle from jerking are KD = 27.9606 and KP = 32.0490. The test was conducted while an object crossed the vehicle’s path at distances of 5, 10, 15, and 20 m, respectively. It was found that controlling brake fluid pressure by measuring the distance from the object helped reduce the braking time and jerking of the vehicle and could stop the vehicle before experiencing a collision. At a distance of 20 m, the vehicle could be stopped before the crash and was 3.7 m away from the object; at a distance of 15 m, the distance from the object was 3.1 m; and at a distance of 10 m, the distance from the object was 3 m. However, at a distance of 5 m, the brake system could not stop the vehicle, causing collision with the object because the distance from the object for braking was less than the designed distance. This shows that the warning system and the brake fluid pressure control system can operate in accordance with the corresponding conditions correctly, smoothly, and quickly within the specified distance and be applied to other types of vehicles

    The Design of Pressure Control System using PD Controller for Light Duty Electric Vehicle

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    This article describes a control method for braking oil pressure control based on a hydraulic brake control system for light-duty electric vehicles. This research aims to investigate and develop an automated braking system to lessen the possibility of accidents and also prevent frontal collisions of vehicles. In this study, a brake management system was designed with a PD controller and a linear motor actuator was chosen to control the brake oil pressure. System identification of the mathematical model is necessary to investigate the relationship between input and output responses in the linear model's range. In order to gain insight into the behavior of this system, a mathematical model was investigated and estimated, and the ideal values for the PD controller were determined as well. These estimated values were then utilized in an optimization process. Using the parameter estimation in the MATLAB Simulink, the control parameters, with the proportional gain value at 27.9606 and the derivative gain at 32.0490, were identified. The developed braking system implemented in a light-duty electric vehicle showed that it could effectively regulate the brake oil pressure using the prescribed parameter. The error value was not more than ±8 psi of the specified value. These findings highlight the potential of the system's applicability to extend to large vehicles further
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