Path Tracking Control of an Autonomous Tractor Using Improved Stanley Controller Optimized with Multiple-Population Genetic Algorithm
To improve the path tracking accuracy of autonomous tractors in operation, an improved Stanley controller (IMP-ST) is proposed in this paper. The controller was applied to a two-wheel tractor dynamics model. The parameters of the IMP-ST were optimized by multiple-population genetic algorithm (MPGA)...
Main Authors: | Liang Wang, Zhiqiang Zhai, Zhongxiang Zhu, Enrong Mao |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
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Series: | Actuators |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-0825/11/1/22 |
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