Fuzzy control for vehicle status estimation considering roll stability and its application in target recognition of automobile cruise system

Chen, Xuewen; Zhang, Jinguo; Yue-Zhou,; Liu, Yan Jun

doi:10.1177/1687814017701698

Cited by 8 publications

(6 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, ensuring that lane changes are straight when transitioning between curved lanes is challenging. 31,32 Therefore, there is a need to carry out further research and discussions on trajectory planning for the lane changes on curved roads. The following is a discussion on planning a curved lane change trajectory based on the trajectory planning for a straight lane change, mainly including the lane changes from the outer lane to the inner lane and from the inner lane to the outer lane.…”

Section: Lane Change Trajectory Planning Algorithm On Curvesmentioning

confidence: 99%

Research on the trajectory tracking of a curved road in an active lane change scenario based on model predictive control algorithm

Wang,

Qu,

Guo

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

In this paper, a control method for trajectory planning and tracking of an intelligent vehicle is proposed. In terms of trajectory planning, a trajectory planning method for curved lane changes is designed based on conventional lane change trajectory planning and considering the adaptive correction of road curvature. In addition, curve trajectory tracking control strategy based on model predictive control is designed. Model predictive control is suitable for multi-input and multi-output nonlinear models, and it has the advantage of considering model constraints. This type of control makes the model output more in line with vehicle dynamics characteristics and improves the trajectory tracking accuracy. Finally, the simulation shows that the method proposed in this paper can generate a reasonable curved lane-changing trajectory, and under the consideration of the vehicle dynamics constraints, the MPC algorithm is used to effectively follow the expected trajectory, so that the vehicle can change lanes smoothly.

show abstract

Section: Lane Change Trajectory Planning Algorithm On Curvesmentioning

confidence: 99%

Research on the trajectory tracking of a curved road in an active lane change scenario based on model predictive control algorithm

Wang,

Qu,

Guo

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…Results show that the predictor can reach 100 an accuracy of 97% on straight road and 96% on curved road. Besides, Chen et al 103 estimated the possibility of lane change of vehicles ahead using fuzzy controllers. Inputs are longitudinal and lateral speeds of a certain vehicle ahead and output is the probability of its lane change behavior which helps determine the target vehicle for car following.…”

Section: Prediction-based Acc Algorithmmentioning

confidence: 99%

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

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

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.

show abstract

“…PID control 6 is the most widely used method in the design of the STC system, and its biggest advantage is that it does not depend on the accurate vehicle longitudinal system model. Besides, the model prediction algorithm 7 , sliding mode algorithm 8 , and fuzzy algorithm 9 have also been widely used. The challenge of vehicle speed tracking control is how to consider the influence of tire force constraints on vehicle speed under different road conditions and extreme conditions.…”

Section: Introductionmentioning

confidence: 99%

Multi-directional-motion-coupling-based Extreme Motion Control of Distributed Drive Autonomous Vehicle

Ding

Wang

Yang

et al. 2022

Preprint

View full text Add to dashboard Cite

To improve the multi-directional motion control accuracy and driving stability of Distributed Drive Autonomous Vehicles (DDAVs) under extreme conditions, the extreme speed estimation method based on dynamic boundary and the motion control law design method based on vehicle multi-directional motion coupling dynamic model are proposed. The stable driving state of DDAVs is identified by the dynamic boundary composed of yaw rate, sideslip angle and roll angle, and then the extreme speed of stable driving is estimated. The eight-degrees-of-freedom(8-DOF) DDAVs vehicle dynamics model is used to design the control law of steering wheel angle, wheel torque and active suspension actuation force. Based on the above methods and sliding mode algorithm, the Multi-directional Motion Coupling Control System (MMCCS) of DDAVs is designed. The effectiveness of the proposed method is verified by double-line-shifting and serpentine driving simulations under different road adhesion conditions. The superiority of the method is proved by comparing the existing integrated control method.

show abstract

Fuzzy control for vehicle status estimation considering roll stability and its application in target recognition of automobile cruise system

Cited by 8 publications

References 26 publications

Research on the trajectory tracking of a curved road in an active lane change scenario based on model predictive control algorithm

Research on the trajectory tracking of a curved road in an active lane change scenario based on model predictive control algorithm

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

Multi-directional-motion-coupling-based Extreme Motion Control of Distributed Drive Autonomous Vehicle

Contact Info

Product

Resources

About