{"title":"Neural Network-Interacted Robust Coordinated Control of Full-Vehicle Active Air Suspension With Uncertainties and Time Delays","authors":"Rongchen Zhao;Wenye Huang;Haifeng Xie","doi":"10.1109/ACCESS.2024.3468912","DOIUrl":null,"url":null,"abstract":"This paper proposes a neural network-interacted robust coordinated control (NNIRCC) scheme to address the problem of full-vehicle active air suspension (AAS) systems subject to uncertainties and different time-varying actuator delays. The NNIRCC scheme consists of neural network-interacted (NNI) approximator, projector-based estimator and robust coordinated control term. The NNI approximator based on the radial basis function is employed to capture the nonlinearities caused by the unmodeled dynamics of adjustable air spring. Meanwhile, an interactive updating algorithm is designed to manipulate the weights of the NNI approximator so as to improve the approximation accuracy. Moreover, projector-based nonlinear estimators are designed to handle the prevalent sensitive parameter variations (such as vehicle body mass and its moments of inertia). Furthermore, delay compensators are developed and integrated into the synthesized coordinated control law to mitigate the impact of different time-varying input delays caused by force actuators. The asymptotic stability of closed-loop system is rigorously proven by employing a Lyapunov-Krasovskii functional, guaranteeing the boundedness of both tracking and estimation errors within a finite time. Additionally, co-simulation results are provided and analyzed, illustrating the feasibility and efficiency of the proposed NNIRCC scheme.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10695084","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Access","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10695084/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a neural network-interacted robust coordinated control (NNIRCC) scheme to address the problem of full-vehicle active air suspension (AAS) systems subject to uncertainties and different time-varying actuator delays. The NNIRCC scheme consists of neural network-interacted (NNI) approximator, projector-based estimator and robust coordinated control term. The NNI approximator based on the radial basis function is employed to capture the nonlinearities caused by the unmodeled dynamics of adjustable air spring. Meanwhile, an interactive updating algorithm is designed to manipulate the weights of the NNI approximator so as to improve the approximation accuracy. Moreover, projector-based nonlinear estimators are designed to handle the prevalent sensitive parameter variations (such as vehicle body mass and its moments of inertia). Furthermore, delay compensators are developed and integrated into the synthesized coordinated control law to mitigate the impact of different time-varying input delays caused by force actuators. The asymptotic stability of closed-loop system is rigorously proven by employing a Lyapunov-Krasovskii functional, guaranteeing the boundedness of both tracking and estimation errors within a finite time. Additionally, co-simulation results are provided and analyzed, illustrating the feasibility and efficiency of the proposed NNIRCC scheme.
IEEE AccessCOMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍:
IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest.
IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on:
Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals.
Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering.
Development of new or improved fabrication or manufacturing techniques.
Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.