A novel design for adaptive cruise control based on extended reference model

Mohtavipour, Seyed Mehdi; Jafari, HoseinAli; Shahhoseini, Hadi Shahriar

doi:10.1109/kbei.2017.8324910

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…The figure below shows the working principle of the ACC system. Currently, the research on ACC uses various control methods, such as PID control, model predictive control, linear quadratic optimal control, fuzzy control, neural network control and fuzzy PID control (Mohtavipour et al, 2017). The current research progress introduces the architecture and working principle of the ACC system, summarizes the research status of ACC, and points out the future development trend.…”

Section: Figure 1 Consists Of the Acc Systemmentioning

confidence: 99%

Dubin’s Curve of RRT* Merged With A*

Abdurohman

Kang

Hidayat

2022

IJEC

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ACC (Adaptive Cruise Control) is a crucial technology to control the automatic driving of a vehicle, which can automatically adjust the driving status of the vehicle according to the driving status of the vehicle in front so that the vehicle always keeps a safe distance from the vehicle in front, which can primarily relieve the driver's driving pressure and avoid tailgating. The research is of great significance to the realization of intelligent driving of vehicles. In this paper, the fuzzy PID control method is used to study the vehicle ACC system. Firstly, the basic concept and key components of the ACC system are explained, the vehicle longitudinal dynamics model is established, and the primary ranges of , and parameters are determined through simulation; based on this, the fuzzy PID control algorithm of vehicle ACC is designed considering three different driving conditions of fixed speed and following cruise mode. The fuzzy PID control algorithm of the vehicle ACC system is designed and established. The joint simulation model of MATLAB is used to simulate the vehicle ACC system under three different driving conditions. The simulation results show that the vehicle ACC system designed in this paper ensures the safety and stability of following the vehicle while providing the vehicle's ride's comfort.

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Section: Figure 1 Consists Of the Acc Systemmentioning

confidence: 99%

Dubin’s Curve of RRT* Merged With A*

Abdurohman

Kang

Hidayat

2022

IJEC

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“…In order to deal with the contradiction between safety and comfort of the model mentioned, Mohtavipour et al 24 proposed an extended inter-distance reference model, where an additional division of the inter-distance is added. As shown in Figure 11(b), comfort and safety are considered separately in two ranges CR 3 and CR 2 .…”

Section: Hierarchical Controllermentioning

confidence: 99%

“…Sliding Mode Control (SMC) is one kind of variable structure-based control which has advantages in handling uncertainties for complex high-order plants 22,23 and (b) extended inter-distance reference model. 24 with disturbances. In order to realize control target, SMC controllers drive plant state trajectories onto the predefined sliding surface and maintain the state sliding on the surface.…”

Section: Hierarchical Controllermentioning

confidence: 99%

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Researches on Adaptive Cruise Control system: A state of the art review

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Adaptive Cruise Control (ACC) is one of Advanced Driver Assistance Systems (ADAS) which takes over vehicle longitudinal control under necessary driving scenarios. Vehicle in ACC mode automatically adjusts speed to follow the preceding vehicle based on evaluation of the surrounding traffic. ACC reduces drivers’ workload as well as improves driving safety, energy economy, and traffic flow. This article provides a comprehensive review of the researches on ACC. Firstly, an overview of ACC controller and applied control theories are introduced. Their principles and performances are discussed. Secondly, several application cases of ACC control algorithms are presented. Then validation work including simulation, Hardware-in-the-Loop (HiL) test and on-road experiment is descripted to provide ideas for testing ACC systems for different aims and fidelities. In addition, studies on human-machine interaction are also summarized in this review to provide insights on development of ACC from the perspective of users. At last, challenges and potential directions in this field is discussed, including consideration of vehicle dynamics properties, contradiction between algorithm performance and computation as well as integration of ACC to other intelligent functions on vehicles.

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