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A Comparison of Multiple Control Strategies for Vehicle Run-Off-Road and Return

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PROJECT TITLE :

A Comparison of Multiple Control Strategies for Vehicle Run-Off-Road and Return

ABSTRACT:

A large percentage of single-vehicle automobile crashes involve a scenario referred to as run-off-road (ROR) where the vehicle leaves the roadway and travels on the surfaces adjacent to the road. Present solutions such as roadway infrastructure modifications and vehicle safety systems have helped to mitigate some ROR events but remain restricted in their approach. A whole answer must conjointly directly address the first factor contributing to ROR crashes, that is driver performance errors. During this paper, four vehicle safety management systems, based mostly on sliding (SL) management, linear quadratic (LQ), state flow, and classical theories, were developed to autonomously recover a vehicle from ROR without driver intervention. The vehicle response was simulated for every controller underneath a selection of common road departure and come back eventualities. The results showed that the LQ and SL control methodologies outperformed the opposite controllers in terms of overall stability. However, the LQ controller was the only design to safely recover the vehicle in all of the simulation conditions examined. On average, it performed the recovery virtually fiftyp.c faster and with 40p.c less lateral error than the SL controller at the expense of higher yaw rates.


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A Comparison of Multiple Control Strategies for Vehicle Run-Off-Road and Return - 4.9 out of 5 based on 24 votes

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