Robust dynamic event-triggered sliding mode control for lateral dynamics of intelligent electric vehicle

被引:0
作者
Liu, Zhi [1 ]
Chu, Xing [2 ]
Mao, Suqin [3 ]
Ding, Pengfei [1 ]
Cheng, Shouhu [1 ]
Lei, Jilin [4 ]
Yao, Shaowen [2 ]
机构
[1] Zhengzhou Electromech Engn Res Inst, Zhengzhou 450052, Peoples R China
[2] Yunnan Univ, Sch Software, Kunming 650500, Peoples R China
[3] Yunnan Commun Vocat & Tech Coll, Kunming 650500, Peoples R China
[4] Yunnan Vocat Coll Transportat, Sch Intelligent Transportat, Kunming 650300, Peoples R China
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
基金
中国国家自然科学基金;
关键词
Intelligent electric vehicle; Lateral dynamics; Sliding mode control; Dynamic event triggering mechanism; Disturbances; Inter-event times; TRACKING; SYSTEMS;
D O I
10.1038/s41598-025-09816-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper proposes a dynamic event triggering mechanism whose triggering characteristics can be designed for a robust sliding mode controller to solve the lateral motion control problem of intelligent electric vehicle in the presence of bounded matched disturbances. The motivation of current work mainly aims to alleviate unnecessary computing and communication of energy-constrained vehicle control systems by a large margin while ensuring its stability and robustness. The main contributions of the paper are summarized as follows. We design a continuous-time robust sliding mode controller which is proved to have the capability to effectively suppress the bounded matched disturbances. We derive a new dynamic event triggering rule, under which the positive minimum value and the evolution characteristics of the inter-event times are able to be designed. We analyze the stability via the Lyapunov theory, exclude Zeno behavior and prove that the semi-global robust event-separation property holds for the above constructed event-triggered control system theoretically. We numerically evaluate the effectiveness of our theoretical results and the advantages of the proposed method which is highlighted in an overtaking case for the intelligent electric vehicle. To the best of our knowledge, this is the first paper which studies lateral motion control of vehicle with the consideration of the robustness not only for the stability but also for the positive minimum inter-event times.
引用
收藏
页数:17
相关论文
共 43 条
[1]   Robust Set-Invariance Based Fuzzy Output Tracking Control for Vehicle Autonomous Driving Under Uncertain Lateral Forces and Steering Constraints [J].
Anh-Tu Nguyen ;
Rath, Jagat ;
Guerra, Thierry-Marie ;
Palhares, Reinaldo ;
Zhang, Hui .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (09) :5849-5860
[2]   Event-Separation Properties of Event-Triggered Control Systems [J].
Borgers, D. P. ;
Heemels, W. P. M. H. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (10) :2644-2656
[3]   Gain-scheduling LPV synthesis H∞ robust lateral motion control for path following of autonomous vehicle via coordination of steering and braking [J].
Cao, Xuanhao ;
Xu, Tao ;
Tian, Yantao ;
Ji, Xuewu .
VEHICLE SYSTEM DYNAMICS, 2023, 61 (04) :968-991
[4]   Autonomous Driving Motion Planning With Constrained Iterative LQR [J].
Chen, Jianyu ;
Zhan, Wei ;
Tomizuka, Masayoshi .
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2019, 4 (02) :244-254
[5]   Optimal car-following control for intelligent vehicles using online road-slope approximation method [J].
Chu, Hongqing ;
Guo, Lulu ;
Chen, Hong ;
Gao, Bingzhao .
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 64 (01)
[6]   Robust Event Triggered Control for Lateral Dynamics of Intelligent Vehicle With Designable Inter-Event Times [J].
Chu, Xing ;
Liu, Zhi ;
Mao, Lei ;
Jin, Xin ;
Peng, Zhaoxia ;
Wen, Guoguang .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (11) :4349-4353
[7]   Event triggering control for dynamical systems with designable inter-event times [J].
Chu, Xing ;
Huang, Na ;
Sun, Zhiyong .
IFAC PAPERSONLINE, 2020, 53 (02) :6410-6415
[8]   Distributed formation tracking of nonholonomic autonomous vehicles via event-triggered and sampled-data method [J].
Chu, Xing ;
Peng, Zhaoxia ;
Wen, Guoguang ;
Rahnnani, Ahmed .
INTERNATIONAL JOURNAL OF CONTROL, 2019, 92 (10) :2243-2254
[9]   Event-triggered variable structure control [J].
Cucuzzella, Michele ;
Incremona, Gian Paolo ;
Ferrara, Antonella .
INTERNATIONAL JOURNAL OF CONTROL, 2020, 93 (02) :252-260
[10]   Intelligent vehicle lateral control based on radial basis function neural network sliding mode controller [J].
Fan Bailin ;
Zhang Yi ;
Chen Ye ;
Meng Lingbei .
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2022, 7 (03) :455-468