Longitudinal brake control of hybrid electric bus using adaptive fuzzy sliding mode control

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
Shu Jie, Zhang Yong, Yin Cheng-liang
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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.
基于自适应模糊滑模控制的混合动力客车纵向制动控制
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。
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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.
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