基于模糊控制器的飞行器偏航稳定性控制

Bin Li, Daofei Li, F. Yu
{"title":"基于模糊控制器的飞行器偏航稳定性控制","authors":"Bin Li, Daofei Li, F. Yu","doi":"10.1109/ICVES.2007.4456392","DOIUrl":null,"url":null,"abstract":"The yaw stability of a vehicle is crucial to vehicle safety in steering manoeuvres. In this paper, a fuzzy-logic controller is designed for improving vehicle yaw stability by corrective yaw moment generated from differential braking so that the yaw rate and body sideslip angle can trace their desired values. An 8-DOF vehicle model with nonlinear tire characteristic is developed to capture the vehicle longitudinal, lateral, yaw and roll motion, and four wheel rotation motion. The body sideslip angle is estimated by a 3-DOF vehicle model. Simulations of J-turn and lane change are carried out and the simulation results show the effectiveness of the fuzzy-logic controller for improving vehicle yaw stability.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Vehicle yaw stability control using the fuzzy-logic controller\",\"authors\":\"Bin Li, Daofei Li, F. Yu\",\"doi\":\"10.1109/ICVES.2007.4456392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The yaw stability of a vehicle is crucial to vehicle safety in steering manoeuvres. In this paper, a fuzzy-logic controller is designed for improving vehicle yaw stability by corrective yaw moment generated from differential braking so that the yaw rate and body sideslip angle can trace their desired values. An 8-DOF vehicle model with nonlinear tire characteristic is developed to capture the vehicle longitudinal, lateral, yaw and roll motion, and four wheel rotation motion. The body sideslip angle is estimated by a 3-DOF vehicle model. Simulations of J-turn and lane change are carried out and the simulation results show the effectiveness of the fuzzy-logic controller for improving vehicle yaw stability.\",\"PeriodicalId\":202772,\"journal\":{\"name\":\"2007 IEEE International Conference on Vehicular Electronics and Safety\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Conference on Vehicular Electronics and Safety\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVES.2007.4456392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Vehicular Electronics and Safety","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2007.4456392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

在转向操纵中,车辆的偏航稳定性对车辆安全至关重要。本文设计了一种模糊控制器,通过对差动制动产生的偏航力矩进行校正,提高车辆的偏航稳定性,使车辆的横摆角速度和车身侧滑角能够跟踪其期望值。建立了具有非线性轮胎特性的8自由度车辆模型,以捕捉车辆的纵向、横向、偏航和侧倾运动以及四轮旋转运动。车身侧滑角由三自由度车辆模型估计。对j型转弯和变道进行了仿真,仿真结果表明了模糊控制器对提高车辆偏航稳定性的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Vehicle yaw stability control using the fuzzy-logic controller
The yaw stability of a vehicle is crucial to vehicle safety in steering manoeuvres. In this paper, a fuzzy-logic controller is designed for improving vehicle yaw stability by corrective yaw moment generated from differential braking so that the yaw rate and body sideslip angle can trace their desired values. An 8-DOF vehicle model with nonlinear tire characteristic is developed to capture the vehicle longitudinal, lateral, yaw and roll motion, and four wheel rotation motion. The body sideslip angle is estimated by a 3-DOF vehicle model. Simulations of J-turn and lane change are carried out and the simulation results show the effectiveness of the fuzzy-logic controller for improving vehicle yaw stability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Precise eye location in driver fatigue state surveillance system Modeling and implementation on the behavior of autonomous vehicle in the virtual traffic environment Analysis of schedulability of CAN based on RM algorithm A vibration-controlled resonant accelerometer design and its application to the single structured gyroscope/accelerometer system An algorithm based on SVM ensembles for motorcycle recognition
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1