Research on Motor Control of Steer-by-Wire for Intelligent Vehicles Based on Flood-PID Algorithm

To improve the control performance of the steering-by-wire system, an improved flood PID control algorithm for the steering motor is proposed.First, by analysing the structure and dynamic characteristics of the wire-rope steering system, a mathematical model of the steering system and motor is developed. Then, A PID controller is then designed to target steering motor angle to achieve precise steering angle control.By incorporating human learning mechanisms to boost population diversity in the flood optimization algorithm, a refined flood-PID steering motor control algorithm was developed. Finally, the results were confirmed experimentally on the steer-by-wire test bench using a combined simulation with the CarSim software and MATLAB/Simulink.Simulation results and bench tests indicate that the enhanced flood-PID control algorithm presented in this paper effectively adapts to system changes and disturbances, achieving precise motor angle control and enhancing the steering system's reliability.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865447
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Motor Control of Steer-by-Wire for Intelligent Vehicles Based on Flood-PID Algorithm

Qingyong Zhang, Yuepeng Chen, Renfei Feng, Zhihui Yang
Advanced Sensor and Control Systems
article

Research on Motor Control of Steer-by-Wire for Intelligent Vehicles Based on Flood-PID Algorithm

Qingyong Zhang, Yuepeng Chen, Renfei Feng, Zhihui Yang
article en

Abstract

To improve the control performance of the steering-by-wire system, an improved flood PID control algorithm for the steering motor is proposed.First, by analysing the structure and dynamic characteristics of the wire-rope steering system, a mathematical model of the steering system and motor is developed. Then, A PID controller is then designed to target steering motor angle to achieve precise steering angle control.By incorporating human learning mechanisms to boost population diversity in the flood optimization algorithm, a refined flood-PID steering motor control algorithm was developed. Finally, the results were confirmed experimentally on the steer-by-wire test bench using a combined simulation with the CarSim software and MATLAB/Simulink.Simulation results and bench tests indicate that the enhanced flood-PID control algorithm presented in this paper effectively adapts to system changes and disturbances, achieving precise motor angle control and enhancing the steering system's reliability.

Wuhan University of Technology (CN)
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Openalex Percentile: Top 67%
Advanced Sensor and Control Systems
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