Optimized PID Controller Using Genetic Algorithm for Anti-lock Brake System

2023-01-0696

04/11/2023

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
The anti-lock brake system (ABS) is a vital system in modern vehicles that prevents automotive wheels from locking during an emergency brake. This paper aims to introduce an efficient, optimized proportional integral derivative (PID) controller tuned using a genetic algorithm (GA) to enhance the performance of ABS. The PID control method is a very famous control algorithm employed in numerous engineering applications. The GA is used to solve the nonlinear optimization problem and search for the optimum PID controller gains by identifying the solution to the problem. A mathematical model of ABS is derived and simulated using Matlab and Simulink software. The proposed optimized PID-controlled ABS is compared to the conventional ABS controlled using a Bang-Bang controller. System performance criteria are evaluated and assessed under different road adhesion coefficient values to judge the success of the proposed PID controller tuned using GA. The simulated results indicate that the proposed PID controller can offer a significant improvement of ABS performance under any value of road adhesion coefficient.
Meta TagsDetails
DOI
https://doi.org/10.4271/2023-01-0696
Pages
10
Citation
Mohammed, O., Metered, H., and Abdelaziz, T., "Optimized PID Controller Using Genetic Algorithm for Anti-lock Brake System," SAE Technical Paper 2023-01-0696, 2023, https://doi.org/10.4271/2023-01-0696.
Additional Details
Publisher
Published
Apr 11, 2023
Product Code
2023-01-0696
Content Type
Technical Paper
Language
English