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Title
Suspension Control Strategies Using Switched Soft Actor-Critic Models for Real Roads in a Real Car (2022.03.01)
Date
2022.05.17
Writer
기계공학부
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Suspension Control Strategies Using Switched Soft Actor-Critic Models for Real Roads in a Real Car



Professor Choi Jongeun's research team in the School of Mechanical Engineering developed a reinforcement learning-based suspension control logic that can improve driving stability and ride comfort on real roads and real vehicles through joint research with Hyundai Motor's R&H Research Lab. The reinforcement learning-based suspension control logic of this research outperformed the conventional control logics that were widely used in the automobile industry, and was published in 'IEEE Transactions on Industrial Electronics (I.F. 8.236, top 7.13%)'. In the paper, the team showed that the reinforcement learning based artificial intelligence model verified in the simulation in the laboratory can be applied to real vehicles and real roads.


The link: https://ieeexplore.ieee.org/abstract/document/9724132

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