{"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}
引用次数: 9
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.
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.