Cited By
View all- Cai JChen GYin JDing CSuo YChen J(2024)A Review of Autonomous Berthing Technology for ShipsJournal of Marine Science and Engineering10.3390/jmse1207113712:7(1137)Online publication date: 6-Jul-2024
LQR Optimal Control of Four-steering Vehicle Based on Particle Swarm Optimization Algorithm
Authors: 
Songfeng Zhu, Xueyuan Li, Xinyi Qu, Qi Liu, Zirui LiAuthors Info & Claims
Pages 740 - 745
Abstract
This paper proposes a linear quadratic controller based on particle swarm algorithm for the rear wheel control of four-wheel steering vehicle. Particle swarm optimization with fitness functions is used to optimize the coefficients of the weight matrix offline. The fuzzy rules following the controller is used if the road condition is terrible. The simulation results show that the LQR control model based on particle swarm optimization makes the trajectory tracking of the vehicle better and the side slip angle of the vehicle lower. It can be proved that the controller has positive effect on handling stability of the vehicle and safety of drivers.
References
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- LQR Optimal Control of Four-steering Vehicle Based on Particle Swarm Optimization Algorithm
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Published In
June 2022
905 pages
ISBN:9781450397179
DOI:10.1145/3548608
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Association for Computing Machinery
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Publication History
Published: 14 October 2022
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ICCIR 2022
ICCIR 2022: 2022 2nd International Conference on Control and Intelligent Robot
June 24 - 26, 2022
Nanjing, China
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Overall Acceptance Rate 131 of 239 submissions, 55%
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View all- Cai JChen GYin JDing CSuo YChen J(2024)A Review of Autonomous Berthing Technology for ShipsJournal of Marine Science and Engineering10.3390/jmse1207113712:7(1137)Online publication date: 6-Jul-2024
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