基于双层驾驶员模型的履带车辆纵向与横向协同跟踪控制方法

Translated title of the contribution: Longitudinal and Lateral Path Following Coordinated Control Method of Tracked Vehicle Based on Double-layer Driver Model

Bo Yang Wang, Jian Wei Gong, Tian Yun Gao, Rui Zeng Zhang, Hui Yan Chen*, Jun Qiang Xi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

A longitudinal and lateral joint path following coordinated control method based on double-layer driver model is proposed to solve the path following control problem of tracked vehicle with clutch and brake steering structure. The first layer of driver model is based on the Gaussian mixture model and hidden Markov model. The desired path is taken as an input. The aim is to predict the steering mode sequences and switch the control mode according to the sequences. The second layer of driver model is established by using the fuzzy logic to reflect the skilled driver's longitudinal and lateral operation experience. The longitudinal and lateral control commands are calculated according to the desired deviation of course. The results show that the driving experience can be utilized effectively to settle a challenge due to longitudinal and lateral combined vehicle dynamic characteristic and steering uncertainty in the proposed control method. The lateral control accuracy is less than 1.0 m under the particular scenario.

Translated title of the contributionLongitudinal and Lateral Path Following Coordinated Control Method of Tracked Vehicle Based on Double-layer Driver Model
Original languageChinese (Traditional)
Pages (from-to)1675-1682
Number of pages8
JournalBinggong Xuebao/Acta Armamentarii
Volume39
Issue number9
DOIs
Publication statusPublished - 1 Sept 2018

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