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A Fuzzy Logic Shared Steering Control Approach For Semi-Autonomous Vehicle
Ali Hamdan, Reine Talj, Véronique Cherfaoui

A Fuzzy Logic Shared Steering Control Approach For Semi-Autonomous Vehicle

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

This paper deals with the shared lateral control between the driver and the automated system for the lane keeping purpose. The objective of this shared control is to ensure road safety and enhance driving performance. The control authority is realized using the blended shared control that permits the fusion of two inputs via a fusion parameter. To do that, a driver model is detailed to represent the human in the loop. The vehicle longitudinal and lateral movement are performed by an autonomous system based on Super Twisting Sliding Mode (STSM) control approach. A Fuzzy Logic Controller followed by a situation-based analysis block for the decision-making process are developed for the fusion parameter determination. Finally, the proposed shared control is validated on Matlab/Simulink for two case studies with a complete nonlinear model of the vehicle validated on "SCANeR Studio" (OKtal) professional simulator.

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Document Information

Document Title A Fuzzy Logic Shared Steering Control Approach For Semi-Autonomous Vehicle
Author / Organization Ali Hamdan, Reine Talj, Véronique Cherfaoui
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-251780
Original Source Link Visit Source Page on hal.science »