Analysis of feed-forward control effect on autonomous driving car-following system

Tao Song and Wen-Xing Zhu

Physica A: Statistical Mechanics and its Applications, 2022, vol. 598, issue C

Abstract: In this paper, the feed-forward control effect is introduced into the car-following system, which combines the proportional differentiation and velocity feedback effect to form a new compound compensation method to improve the stability and rapidity of the traffic flow system. The unit step input response in time domain analysis method is used to analyze the system and the feed-forward effect of the system. Using the small gain theorem and the Rouse criterion, we obtain the stability conditions of the improved system and obtain the neutral stability curves. Next, setting up simulation experiments discuss the influence of feed-forward effect on autonomous traffic flow system. The results show that the introduction of feed-forward effect can effectively improve the rapidity of traffic flow system responding to disturbances. Combined with appropriate proportional differentiation and velocity feedback, the system can be both stability and rapidity, which is meaningful for autonomous driving.

Keywords: Feed-forward control effect; Compound compensation; Time domain analysis; Small gain theorem and Rouse criterion; Stability and rapidity; Autonomous driving car-following system (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:598:y:2022:i:c:s037843712200303x

DOI: 10.1016/j.physa.2022.127401

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