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A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car.

Authors :
Liu, Shida
Hou, Zhongsheng
Tian, Taotao
Deng, Zhidong
Li, Zhenxuan
Source :
IEEE Transactions on Neural Networks & Learning Systems; Nov2019, Vol. 30 Issue 11, p3444-3457, 14p
Publication Year :
2019

Abstract

In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the introduced DuSP method and the symmetrically similar structures of the controller and its parameter estimator of MFAC. Then, the proposed DuSP-MFAC scheme is successfully implemented in an autonomous car “Ruilong” for the lateral tracking control problem via converting the trajectory tracking problem into a stabilization problem by using the proposed preview-deviation-yaw angle. This MFAC-based lateral tracking control method was tested and demonstrated satisfactory performance on real roads in Fengtai, Beijing, China, and through successful participation in the Chinese Smart Car Future Challenge Competition held in 2015 and 2016. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2162237X
Volume :
30
Issue :
11
Database :
Complementary Index
Journal :
IEEE Transactions on Neural Networks & Learning Systems
Publication Type :
Periodical
Accession number :
139436800
Full Text :
https://doi.org/10.1109/TNNLS.2019.2892327