Distributed Car-Following Control for Intelligent Connected Vehicle Using Improved Super-Twisting Compensator Subject to Sudden Velocity Changes of Leading Vehicle

Yan, Ruidong; Yang, Diange; Huang, Jin; Jiang, Kun; Jiao, Xinyu

doi:10.1109/tits.2021.3060633

Cited by 17 publications

(7 citation statements)

References 26 publications

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“…First, complex perturbations of the system are defined [23,24]. Define 𝜔 𝑣 𝑖 as the velocity measurement error of vehicle i and 𝜔 𝑥 𝑖 as the position measurement error of vehicle i. 𝜔 𝑣 𝑖,𝑗 and 𝜔 ℎ 𝑖,𝑗 , 𝑗 = 0,1,2, ⋯ , 𝑛 denote the velocity as well as the headway error caused by the communication between vehicle i and other vehicles, respectively.…”

Section: Complex Disturbance Of V2v Systemmentioning

confidence: 99%

“…Zhu et al [20][21][22] introduced a series of methods including classical compensators and discrete controllers into Autonomous traffic flow control. Based on the sliding mode control principle, Yan [23,24] designed feed-forward compensationbased finite-time traffic flow controller and improved super-twisting compensator, Gao [25], Guo [26] and Kown [27] designed adaptive sliding mode controllers.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Adaptive Exponential Reaching Sliding Mode Control Strategy for Intelligent Connected Vehicle System under Complex Communication Environment and Different Types of Interference

Song

Wang

et al. 2023

Preprint

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This paper studies the performance of a nonlinear sliding mode controller in the cooperative control of the intelligent connected vehicles system. The study begins by proposing a V2V car-following model that takes into account the impacts of disturbances both external and within in the system. Subsequently, an improved adaptive exponential reaching sliding mode controller (IAERSMC) based on a non-singular terminal sliding mode variable is proposed. It is shown through theoretical analysis that with this controller, the system can converge in finite time and enhance dynamic performance. To verify the effectiveness of the controller proposed in this study, two simulation experiments are designed and performed. The first experiment tests the change of communication environment by transforming the communication topology, and the second experiment tests response to three different types of input interference: continuous regular interference, continuous irregular interference, and episodic disturbance. Simulation results show that the controller proposed in this study can maintain a stable operating state of the intelligent connected vehicles system in the face of the complex variable communication environments and different types of interference. The theoretical analysis agrees with the results of the simulated experiments.

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Section: Complex Disturbance Of V2v Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Adaptive Exponential Reaching Sliding Mode Control Strategy for Intelligent Connected Vehicle System under Complex Communication Environment and Different Types of Interference

Song

Wang

et al. 2023

Preprint

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“…Moreover, ADAS can correct drivers' bad operating habits and enhance drivers' safety awareness 2 . At present, many scholars have utilized the many advantages of driving simulator technology in the field of automotive safety to conduct in-the-loop simulation tests on the active safety functions of vehicles, and verified the effectiveness of the vehicle's advanced assisted driving control strategies and other performance [3][4][5] . The performance of the assisted driving function in various scenarios can be well simulated by the in-the-loop test platform, but the effectiveness and reliability of the vehicle in the actual road environment cannot be verified.…”

Section: Introductionmentioning

confidence: 99%

Research on active safety testing based on China new car assessment program (C-NCAP)

zhiliang,

Peng,

Wang

et al. 2024

Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023)

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With the continuous deepening of the research on active safety technology of intelligent vehicles, the assembly rate of advanced driver assistance systems(ADAS) has greatly increased. Active safety performance testing and evaluation for intelligent vehicles is becoming more and more important. However, considering the cost issue, the vehicle-in-the-loop platform test is preferred, and many domestic and international test standards only test and evaluate a single assisted driving function, which is not enough to comprehensively evaluate the strengths and weaknesses of the active safety functions of intelligent vehicles. Therefore, following the actual situation of road traffic in China, we propose the China New Car Assessment Program(C-NCAP) to comprehensively evaluate the active safety functions of intelligent vehicles. Based on the active safety test section of C-NCAP, this study utilizes RTK high-precision positioning test technology for testing to evaluate the performance of 23 vehicles equipped with ADAS. Based on the test results, the active safety system technology of domestic intelligent vehicles is analyzed and evaluated.

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“…China, a major country in automobile production and manufacture, has a large number of automobiles. The extensive use of automobiles not only brings convenience, but also poses potential safety risks to the public [1][2][3] . The safety performance of vehicles has a great impact on road transportation and human lives.…”

Section: Introductionmentioning

confidence: 99%

Study on active safety test based on China Intelligent-connected Car Assessment Program (C-ICAP) - basic driving assist

Liu,

Wang,

Zhou

et al. 2023

Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023)

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With the increasing number of automobiles in China, the safety performance of vehicle has become significant. Advanced Driving Assist System (ADAS) is able to reduce the traffic accident. China New Car Assessment Program (C-NCAP) promotes active safety technologies from the aspect of test. However, in C-NCAP, Autonomous Braking System (AEB) is primarily considered. Therefore, China Intelligent-connected Car Assessment Program (C-ICAP) is proposed to comprehensively test the driving assist functions with longitudinal and lateral control. Based on the basic driving assist part of C-ICAP, this study conducts 3 sets of tests to evaluate the performance of the vehicles with ADAS. Moreover, the feasibility and rationality of the test scenarios are evaluated according to the results.

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Distributed Car-Following Control for Intelligent Connected Vehicle Using Improved Super-Twisting Compensator Subject to Sudden Velocity Changes of Leading Vehicle

Cited by 17 publications

References 26 publications

An Improved Adaptive Exponential Reaching Sliding Mode Control Strategy for Intelligent Connected Vehicle System under Complex Communication Environment and Different Types of Interference

An Improved Adaptive Exponential Reaching Sliding Mode Control Strategy for Intelligent Connected Vehicle System under Complex Communication Environment and Different Types of Interference

Research on active safety testing based on China new car assessment program (C-NCAP)

Study on active safety test based on China Intelligent-connected Car Assessment Program (C-ICAP) - basic driving assist

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