Electric Vehicle Lateral Stability Control Design Based on Brake-By-Wire System Using Fuzzy-SMC

Ferda Saepulah, A. Santoso
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Abstract

This paper refers to the modeling of lateral stability control and braking torque allocation in electric vehicles solely from the brake-by-wire (BBW) system. The vehicle model uses a seven degree of freedom yaw plane model and a control scheme that makes the vehicle always stable when driving in predetermined road conditions. In addition, the case study of maintaining vehicle stability was carried out in two stages, namely, maintaining the yaw rate and side slip angle values of the vehicle and allocating braking torque to each tire using a Fuzzy-Sliding Mode controller (FSMC). The first stage uses the steering wheel angle as input and yaw moment as output. In addition, in the second stage it uses an anti-lock braking system (ABS) algorithm to control slip output and each braking device on each wheel will respond according to vehicle conditions. The analysis and results of the simulations performed illustrate an effective solution for autonomous lateral control or assisted lateral control. The response of FSMC has 16.61% better on steering input sine wave and 22.35% better on steering input step when compared to SMC without parameter optimization, making it more effective in applications in vehicle lateral stability control.
基于模糊- smc的线控制动电动汽车横向稳定控制设计
本文仅从线控制动(BBW)系统出发,建立了电动汽车横向稳定控制和制动力矩分配的模型。车辆模型采用七自由度偏航平面模型和控制方案,使车辆在预定路况下行驶时始终保持稳定。在此基础上,利用模糊滑模控制器(FSMC)对保持车辆的横摆角速度和侧滑角值以及将制动力矩分配给各轮胎两个阶段进行了车辆稳定性保持的案例研究。第一阶段使用方向盘角度作为输入,偏航力矩作为输出。此外,在第二阶段,它使用防抱死制动系统(ABS)算法来控制滑移输出,每个车轮上的每个制动装置将根据车辆情况做出响应。仿真分析和结果说明了自主侧向控制或辅助侧向控制的有效解决方案。FSMC对转向输入正弦波的响应比未进行参数优化的SMC高16.61%,对转向输入阶跃的响应比未进行参数优化的SMC高22.35%,更有效地应用于车辆横向稳定控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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