基于自适应模糊滑模控制的混合动力客车纵向制动控制

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS International Journal of Modelling Identification and Control Pub Date : 2012-03-01 DOI:10.1504/IJMIC.2012.045687
Shu Jie, Zhang Yong, Yin Cheng-liang
{"title":"基于自适应模糊滑模控制的混合动力客车纵向制动控制","authors":"Shu Jie, Zhang Yong, Yin Cheng-liang","doi":"10.1504/IJMIC.2012.045687","DOIUrl":null,"url":null,"abstract":"In this paper, an adaptive fuzzy sliding mode control scheme is designed for hybrid electric bus. The trajectory tracking control for stopping the bus in a bus station is proposed. The adjustment scheme to the regenerative braking torque is also developed by considering the variation of SOC and braking jerk. The proposed adaptive fuzzy control scheme can recognise the external disturbance and model uncertainties, and then make a compensation control to achieve good tracking performance. The stability and convergence properties of the longitudinal brake control system are analytically proved by using Lyapunov stability theory and Barbalat’s lemma. The simulation results demonstrate that the proposed controller shows an improved dynamic performance and can recover more kinetic energy than the conventional sliding mode controller.","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"46 1","pages":"147-155"},"PeriodicalIF":0.6000,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Longitudinal brake control of hybrid electric bus using adaptive fuzzy sliding mode control\",\"authors\":\"Shu Jie, Zhang Yong, Yin Cheng-liang\",\"doi\":\"10.1504/IJMIC.2012.045687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an adaptive fuzzy sliding mode control scheme is designed for hybrid electric bus. The trajectory tracking control for stopping the bus in a bus station is proposed. The adjustment scheme to the regenerative braking torque is also developed by considering the variation of SOC and braking jerk. The proposed adaptive fuzzy control scheme can recognise the external disturbance and model uncertainties, and then make a compensation control to achieve good tracking performance. The stability and convergence properties of the longitudinal brake control system are analytically proved by using Lyapunov stability theory and Barbalat’s lemma. The simulation results demonstrate that the proposed controller shows an improved dynamic performance and can recover more kinetic energy than the conventional sliding mode controller.\",\"PeriodicalId\":46456,\"journal\":{\"name\":\"International Journal of Modelling Identification and Control\",\"volume\":\"46 1\",\"pages\":\"147-155\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2012-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Modelling Identification and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMIC.2012.045687\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Modelling Identification and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMIC.2012.045687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 9

摘要

针对混合动力客车,设计了一种自适应模糊滑模控制方案。提出了公交车站停车的轨迹跟踪控制方法。在此基础上,提出了考虑SOC和制动力矩变化的再生制动力矩调整方案。提出的自适应模糊控制方案能够识别外部干扰和模型不确定性,然后进行补偿控制,以获得良好的跟踪性能。利用Lyapunov稳定性理论和Barbalat引理,分析证明了纵向制动控制系统的稳定性和收敛性。仿真结果表明,与传统滑模控制器相比,该控制器具有更好的动态性能,可以回收更多的动能。
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
Longitudinal brake control of hybrid electric bus using adaptive fuzzy sliding mode control
In this paper, an adaptive fuzzy sliding mode control scheme is designed for hybrid electric bus. The trajectory tracking control for stopping the bus in a bus station is proposed. The adjustment scheme to the regenerative braking torque is also developed by considering the variation of SOC and braking jerk. The proposed adaptive fuzzy control scheme can recognise the external disturbance and model uncertainties, and then make a compensation control to achieve good tracking performance. The stability and convergence properties of the longitudinal brake control system are analytically proved by using Lyapunov stability theory and Barbalat’s lemma. The simulation results demonstrate that the proposed controller shows an improved dynamic performance and can recover more kinetic energy than the conventional sliding mode controller.
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
CiteScore
1.70
自引率
57.10%
发文量
52
期刊介绍: Most of the research and experiments in the fields of science, engineering, and social studies have spent significant efforts to find rules from various complicated phenomena by observations, recorded data, logic derivations, and so on. The rules are normally summarised as concise and quantitative expressions or “models". “Identification" provides mechanisms to establish the models and “control" provides mechanisms to improve the system (represented by its model) performance. IJMIC is set up to reflect the relevant generic studies in this area.
期刊最新文献
Boundary control for prescribed-time stabilization of delayed parabolic reaction-diffusion systems A survey on modern trends of low power long range network applied on IoT applications Upgradation of the automatic voltage regulator dynamic response by an optimally tuned fractional order controller Mathematical model for impact of awareness of COVID-19 vaccination among the youth of Kenya Research on exchange rate forecast based on MLR-ELM model
×
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