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Adaptive Event-Triggered Interval Type-2 T-S Fuzzy Control for Lateral Dynamic Stabilization of AEVs With Intermittent Measurements and Actuator Failure
IEEE Transactions on Transportation Electrification ( IF 7 ) Pub Date : 2022-09-05 , DOI: 10.1109/tte.2022.3204354
Jing Zhao 1 , Yang Xiao 1 , Zhongchao Liang 1 , Pak Kin Wong 2 , Zhengchao Xie 3 , Xiaoguang Ma 4
Affiliation  

This article presents an adaptive event-triggered dynamic output feedback interval type-2 (IT-2) T-S fuzzy control method for autonomous electric vehicle systems. First, the IT-2 T-S fuzzy model is introduced to describe the nonlinear lateral dynamics of the vehicle systems. Second, a novel adaptive event-triggered strategy is designed to reduce the computational burden. Third, the phenomenon of intermittent measurements is depicted by the Bernoulli random distributed process, and the failure of the actuator is also included. According to the Lyapunov stability theory, an IT-2 T-S fuzzy dynamic output feedback controller (DOFC) is presented to ensure the random stability and performance of the vehicle systems. Finally, the effectiveness and real-time performance of the proposed control strategy are verified via numerical simulation and a hardware-in-the-loop (HIL) test platform.

中文翻译:

具有间歇测量和执行器故障的 AEV 横向动态稳定的自适应事件触发间隔 2 型 TS 模糊控制

本文介绍了一种用于自主电动汽车系统的自适应事件触发动态输出反馈区间类型 2 (IT-2) TS 模糊控制方法。首先,引入IT-2 TS模糊模型来描述车辆系统的非线性横向动力学。其次,设计了一种新颖的自适应事件触发策略来减轻计算负担。第三,间歇性测量现象用伯努利随机分布过程描述,执行器失效也包括在内。根据李亚普诺夫稳定性理论,提出了一种 IT-2 TS 模糊动态输出反馈控制器 (DOFC),以确保车辆系统的随机稳定性和性能。最后,
更新日期:2022-09-05
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