Sampled-Data Cooperative Adaptive Cruise Control for String-Stable Vehicle Platooning with Communication Delays: A Linear Matrix Inequality Approach

This study aims to propose a sampled-data control technique, utilizing a linear matrix inequality (LMI) approach, to achieve string-stable vehicle platooning in a cooperative adaptive cruise control (CACC) system with communication delays. To do this, a decentralized sampled-data controller design t...

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Bibliographic Details
Published inMachines (Basel) Vol. 12; no. 3; p. 165
Main Authors Jang, Yong Hoon, Kim, Han Sol
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2024
Subjects
Adaptive control
Adaptive sampling
Communication
communication delays
Control systems design
Controllers
cooperative adaptive cruise control (CACC)
Cooperative control
Cruise control
Efficiency
Euclidean space
Linear matrix inequalities
linear matrix inequality (LMI) approach
Mathematical analysis
Measuring instruments
Methods
Platooning
sampled-data control
Sensors
Stability analysis
string stability
Strings
Time domain analysis
vehicle platooning
Vehicles
Velocity
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Summary:This study aims to propose a sampled-data control technique, utilizing a linear matrix inequality (LMI) approach, to achieve string-stable vehicle platooning in a cooperative adaptive cruise control (CACC) system with communication delays. To do this, a decentralized sampled-data controller design technique that combines one controller using sensor measurements and another one utilizing vehicle-to-vehicle (V2V) communication, ensuring both individual and string stability, is proposed first. Next, a memory sampled-data control (MSC) approach is presented to account for transmission delays in V2V communication. Additionally, an improved Lyapunov–Krasovskii functional (LKF) is presented to improve computational complexity and sampling performance. The design conditions are formulated as linear matrix inequalities (LMIs) in the time domain, facilitating efficient stability analysis and optimization. Finally, vehicle platooning simulations are provided to validate the effectiveness and feasibility of the proposed technique.
ISSN:2075-1702
2075-1702
DOI:10.3390/machines12030165