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Research on automatic parking system based on linear quadratic regulator

Yan Qian (School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China)
Zhaoqiang Wang (School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China)
Wei Liang (School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China)
Chenhui Lu (School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China)

Engineering Computations

ISSN: 0264-4401

Article publication date: 17 September 2021

Issue publication date: 4 March 2022

205

Abstract

Purpose

The purpose of this study is to solve the problem of path planning and path tracking in the automatic parking assistant system.

Design/methodology/approach

This paper first uses the method of reverse driving to confirm few control points based on the constraints of the construction of the vehicle and the environment information, then a reference path with free-collision and continuous curvature is designed based on the Bézier curve. According to the principle of the discrete linear quadratic regulator (LQR), a tracking controller that combines feedforward control and feedback control is designed.

Findings

Finally, simulation analysis are carried out in Simulink and CARSIM. The results show that the proposed method can obtain a better path tracking effect when the parking space size is appropriate.

Originality/value

According to the principle of the discrete LQR, a tracking controller that combines feedforward control and feedback control is designed.

Keywords

Acknowledgements

This study was funded by projects Nos. 51505272, 51505274.

Citation

Qian, Y., Wang, Z., Liang, W. and Lu, C. (2022), "Research on automatic parking system based on linear quadratic regulator", Engineering Computations, Vol. 39 No. 3, pp. 1161-1179. https://doi.org/10.1108/EC-02-2021-0115

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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