Adjustable Gain Enhanced Fuzzy Logic Controller for Optimal Wheel Slip Ratio Tracking in Hard Braking Control System

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Advances in Electrical and Electronic Engineering Pub Date : 2021-09-28 DOI:10.15598/aeee.v19i3.4124
P. C. Eze, Bonaventure Onyekachi Ekengwu, N. Asiegbu, ThankGod I. Ozue
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Abstract

This paper has presented hard braking control system based on Adjustable Gain Enhanced Fuzzy Logic Controller (AGE-FLC) for optimal wheel slip ratio tracking performance. The purpose of the study was to improve slip ratio tracking and eliminate cycling while achieving very much shortened distance during emergency braking. The model of a braking vehicle at speed of 30 m.s^-1 subject to wheel locking was developed and implemented in MATLAB/Simulink environment. Simulation was conducted without a controller to study the slip ratio performance of the system on different road surfaces. The simulation results showed that stopping distance was 135.2 m in 5 seconds. A Fuzzy Logic Controller (FLC) whose control signal was enhanced by adding an adjustable gain mechanism to its output was designed. Simulation results showed that the AGE-FLC controller offered optimal tracking of desired wheel slip ratio of 0.1 as fast as possible on all road surface scenarios, while improving the stopping distance by 70.4% on dry road surface, 63.3% on wet road surface, 57.5% on cobblestone road surface and 48.8% on snow road surface in 2.651seconds.
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可调增益增强模糊控制器在硬制动控制系统中的最优滑移率跟踪
本文提出了一种基于可调增益增强型模糊控制器(AGE-FLC)的硬制动控制系统,以获得最佳的轮滑比跟踪性能。研究的目的是改善滑移率跟踪和消除循环,同时实现非常短的距离紧急制动。在MATLAB/Simulink环境下,开发并实现了一辆速度为30 m.s^-1的制动车辆的车轮抱死模型。在没有控制器的情况下进行了仿真,研究了系统在不同路面上的滑移比性能。仿真结果表明,5秒内停车距离为135.2 m。设计了一种模糊控制器(FLC),该控制器通过在输出端增加可调增益机制来增强控制信号。仿真结果表明,该控制器在所有路面场景下均能以最快的速度实现理想的轮滑比0.1的最优跟踪,并在2.651秒内将干路面、湿路面、鹅卵石路面和雪地路面的停车距离分别提高了70.4%、63.3%、57.5%和48.8%。
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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来源期刊
Advances in Electrical and Electronic Engineering
Advances in Electrical and Electronic Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
1.30
自引率
33.30%
发文量
30
审稿时长
25 weeks
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