2023
DOI: 10.3390/s23187827
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Research on Deep Reinforcement Learning Control Algorithm for Active Suspension Considering Uncertain Time Delay

Yang Wang,
Cheng Wang,
Shijie Zhao
et al.

Abstract: The uncertain delay characteristic of actuators is a critical factor that affects the control effectiveness of the active suspension system. Therefore, it is crucial to develop a control algorithm that takes into account this uncertain delay in order to ensure stable control performance. This study presents a novel active suspension control algorithm based on deep reinforcement learning (DRL) that specifically addresses the issue of uncertain delay. In this approach, a twin-delayed deep deterministic policy gr… Show more

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Cited by 5 publications
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