Adaptive Finite-Time Trajectory Tracking Event-Triggered Control Scheme for Underactuated Surface Vessels Subject to Input Saturation

控制理论(社会学) 欠驱动 跟踪(教育) 无人机 弹道 工程类 计算机科学 自适应控制 方案(数学) 控制工程 数学 人工智能 控制(管理) 海洋工程 教育学 数学分析 心理学 物理 天文
作者
Junfeng Qin,Jialu Du,Jian Li
出处
期刊:IEEE Transactions on Intelligent Transportation Systems [Institute of Electrical and Electronics Engineers]
卷期号:24 (8): 8809-8819 被引量:45
标识
DOI:10.1109/tits.2023.3256094
摘要

In this paper, the trajectory tracking problem of underactuated surface vessels (USVs) that is subject to input saturation, unmodeled dynamics, and marine environmental disturbances is investigated. Firstly, USVs underactuation problem is handled by constructing a coordinate transformation. An auxiliary dynamic system is adopted to deal with input saturation. The adaptive law is presented to online update the upper bounds of the composite disturbances. The event-triggering condition is introduced to reduce drastically control execution frequency and the transmission load. By combining the auxiliary dynamic system, an adaptive technique, a first-order command filtered technique and an event-triggered condition, a novel adaptive finite time event-triggered control (AFETC) scheme is proposed, which has the following significant characteristics compared to most existing schemes: 1) the artfully constructed coordinate transformation not only avoids computational complexity but also simplifies the design; 2) the first-order command filtering vector-backstepping control method not only circumvents "explosion of complexity" in the traditional backstepping approach, but also ensures the finite-time settling of position tracking errors of USVs; 3) with the event triggered control, it reduces the control execution frequency, thereby decreasing the communication transmission load; and 4) it ensures stable tracking without requiring a priori information of the unmodelled dynamics of USVs or external disturbances. The designed robust adaptive control has proven to enable USVs to track the desired trajectory while guaranteeing the closed-loop stability in a finite time and avoiding Zeno behavior. Simulation and comparation results demonstrate the effectiveness and superiority of the proposed control strategy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wanci应助活泼的安柏采纳,获得10
1秒前
华仔应助吴昊东采纳,获得10
1秒前
科目三应助害羞的花生采纳,获得10
2秒前
Hhhh完成签到,获得积分10
2秒前
hope发布了新的文献求助10
2秒前
Tang发布了新的文献求助10
2秒前
3秒前
ding应助张泽升采纳,获得10
3秒前
Eana发布了新的文献求助10
3秒前
科研通AI6.4应助方枪枪采纳,获得10
5秒前
OIC发布了新的文献求助10
5秒前
蓝羽完成签到,获得积分10
6秒前
7秒前
heavennew完成签到,获得积分10
8秒前
赘婿应助略微妙蛙采纳,获得10
8秒前
Dr.miao发布了新的文献求助10
8秒前
子小奥发布了新的文献求助10
9秒前
打打应助蔺瑾瑜采纳,获得10
10秒前
小鸟睡衣发布了新的文献求助10
11秒前
14秒前
臆想完成签到 ,获得积分10
14秒前
15秒前
初蓝完成签到,获得积分10
16秒前
17秒前
17秒前
18秒前
张泽升完成签到,获得积分10
20秒前
20秒前
蔺瑾瑜发布了新的文献求助10
21秒前
哩哩啦啦完成签到 ,获得积分20
22秒前
张泽升发布了新的文献求助10
23秒前
烟花应助kuangrenluoli采纳,获得10
24秒前
略微妙蛙发布了新的文献求助10
24秒前
得得完成签到,获得积分10
25秒前
qianmo发布了新的文献求助10
27秒前
zhanghaha发布了新的文献求助20
29秒前
shunlibiye完成签到 ,获得积分10
29秒前
闫小天天完成签到,获得积分10
29秒前
上官若男应助辞稚采纳,获得10
31秒前
31秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6543195
求助须知:如何正确求助?哪些是违规求助? 8333167
关于积分的说明 17857356
捐赠科研通 5650583
什么是DOI,文献DOI怎么找? 2936983
邀请新用户注册赠送积分活动 1913250
关于科研通互助平台的介绍 1775279