Adaptive Cruise Control System using Balance-Based Adaptive Control technique

Shakouri, Payman; Czeczot, Jacek; Ordys, Andrzej

doi:10.1109/mmar.2012.6347866

Cited by 8 publications

(6 citation statements)

References 12 publications

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“…The control system architecture is designed to be hierarchical; the lower level controllers receive the commands from the higher level controller that defines the driving mode of the vehicle. Analogously, the architecture proposed in [50] is also divided into two loops. The nonlinear balance-based adaptive control (B-BAC) technique accounts for system nonlinearities and it allows for split range control of both the brake and the throttle.…”

Section: The Cruise Control Methodsmentioning

confidence: 99%

Eco-Driving --- Current Strategies and issues, A Preliminary Survey

Ni²,

Ding³

2015

Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference

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After safe driving, eco-driving has become an economic and green driving idea, which is adapted to the modern engine technology and typically consists of changing a person's driving behavior based on general advice to drivers, such as accelerating slowly, driving smoothly, etc. The concept of eco-driving can help save energy and reduce pollution emissions in an efficient way. In this article, a comprehensive preliminary overview of state-of-art research on this issue is presented in several parts: methods for emission estimation, traffic signal control, cruise control, and eco-driving assist systems. Besides, the challenges and opportunities associated with eco-driving are discussed as well.

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Section: The Cruise Control Methodsmentioning

confidence: 99%

Eco-Driving --- Current Strategies and issues, A Preliminary Survey

Ni²,

Ding³

2015

Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference

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“…ACC works on the principle of calculating the distance and speed of vehicle ahead by the use of some sensor. This sensor can be a lidar sensor or a radar sensor [Shakouri P. & Ordys A., 2012]. In ACC system, transmission and reception time is the key of measurement of distance.…”

Section: Adaptive Cruise Control Designmentioning

confidence: 99%

Safety problems in vehicles with adaptive cruise control system

Yadav

Szpytko

2017

Journal of KONBiN

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“…The ACC controller produces positive torque via engine torque request to the Engine Management System (EMS) and produces negative torque via brake pressure request to the Brake Control Unit (BCU). Shakouri et al (2012) chose to gain a scheduling-PI controller to meet the requirement of the ACC system. In this concept, the PI controller parameters change in accordance with the condition in which the system operates by applying a gain scheduling technique.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of an Adaptive Cruise Control System for Driving Comfort and Fuel Economy

Mustafar

Bakar

Zainuddin³

et al. 2021

JSAEM

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Adaptive Cruise Control (ACC) is introduced to allow the subject vehicle to follow a target vehicle at a pre-selected time gap, up to a driver-selected velocity by controlling the engine and/or service brakes as defined in SAE J2399. A typical ACC ensures passenger comfort by minimizing the subject vehicle’s rate of acceleration and deceleration when following a target vehicle. However, if the ACC rate of velocity change is too slow, the subject vehicle might not be able to follow the target vehicle at the set time-gap. On the other hand, if the ACC responds too quickly to the changes in the target vehicle velocity, it might cause passenger discomfort and reduce energy efficiency due to the high rate of acceleration and deceleration. Thus, a research gap in ACC is identified, and this paper seeks to investigate an optimal ACC for driving comfort and fuel economy. This paper models the performance of a passenger vehicle with ACC using feedback control in Matlab Simulink. Three types of ACC control systems are simulated and compared; proportional-integral (PI) control, fuzzy logic control (FLC), and Linear-Quadratic Regulator (LQR). The performance of the control systems is simulated using set test scenarios, and an optimal ACC design is selected based on minimum acceleration, deceleration, and jerk performance, as defined in ISO 15622, following performance and minimum fuel consumption. Results show that the LQR controller has the best performance in meeting the ISO 15622, the lowest target vehicle the following root mean square error (RMSE), and the second-lowest New European Drive Cycle (NEDC) urban cycle fuel consumption.

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Adaptive Cruise Control System using Balance-Based Adaptive Control technique

Cited by 8 publications

References 12 publications

Eco-Driving --- Current Strategies and issues, A Preliminary Survey

Eco-Driving --- Current Strategies and issues, A Preliminary Survey

Safety problems in vehicles with adaptive cruise control system

Optimal Design of an Adaptive Cruise Control System for Driving Comfort and Fuel Economy

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