Abstract
Abstract This paper presents a Linear Parameter Varying (LPV) based approach to handle different steering scenarios for autonomous vehicles. The proposed methodology consists of the design of a fast and performant LPV/LFT controller which can track the generated yaw rate reference, for speed operating range, for lane tracking and smooth/fast lane changes. The handling of a dynamic maneuver is achieved by a Command Governor (CG), which feeds the updated LPV/LFT closed loop system with a “virtual” yaw rate reference. This virtual signal is the solution of an online receding horizon optimization problem, meeting simultaneously safety bounds for the steering of the vehicle. The efficiency of the suggested methodology is illustrated by simulation results for parameters of an automated Renault Zoe.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
