Distributed Adaptive Multi-Lane Fusion Control for 2-D Plane Vehicle Platoon With Distance Constraints and Angle Sensor Faults

IF 3.8 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Adaptive Control and Signal Processing Pub Date : 2024-11-19 DOI:10.1002/acs.3937
Manfei Lin, Chenglin Liu, Kecai Cao
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Abstract

This article investigates the distributed adaptive multi-lane fusion control for two-dimensional (2-D) plane vehicle platoons with variable distance constraints, input hysteresis, and angle sensor faults. Variable distance constraints occur within a limited time interval (VDCOLT), which limits vehicle spacing within a variable range during preset time intervals while keeping the vehicle spacing unconstrained at other times. Combined with a transformed error function, a new shifting function is introduced to convert the constrained spacing error variables into the unconstrained variables while keeping the unconstrained variable unchanged. Designing the position controller ensures that the distance satisfies VDCOLT and reduces the adverse effects caused by unknown signs of input hysteresis by using a Nussbaum function. Moreover, a new angle controller based on the hyperbolic tangent function is designed to solve the problem of angle sensor faults. Furthermore, the stability of the vehicle platoon is achieved through the backstepping control and sliding-mode control methods. Finally, a numerical simulation is provided to verify the proposed techniques.

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考虑距离约束和角度传感器故障的二维平面车辆排分布自适应多车道融合控制
本文研究了具有可变距离约束、输入滞后和角度传感器故障的二维平面车辆排的分布式自适应多车道融合控制。可变距离约束发生在有限时间间隔(VDCOLT)中,它在预设的时间间隔内将车辆间距限制在可变范围内,而在其他时间内保持车辆间距不受约束。结合变换后的误差函数,引入新的移位函数,在保持非约束变量不变的情况下,将有约束的间距误差变量转换为无约束的间距误差变量。位置控制器的设计既保证了距离满足VDCOLT,又利用Nussbaum函数减少了输入迟滞未知信号带来的不利影响。此外,设计了一种基于双曲正切函数的角度控制器,解决了角度传感器故障问题。此外,通过反步控制和滑模控制方法实现了车辆排的稳定性。最后,给出了数值模拟来验证所提出的技术。
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来源期刊
CiteScore
5.30
自引率
16.10%
发文量
163
审稿时长
5 months
期刊介绍: The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.
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Issue Information Issue Information Issue Information Dynamics-Memory-Event-Based Adaptive Attitude Consensus Control for Multi-UAVs With Self-Adjusting Performance Fault Estimation Based Control Design for Nonlinear Fractional-Order Systems Under Proportional-Integral Observer
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