English(EN) Control of a Twin Rotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)

强化学习有效控制双转子系统

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-02 04:00

研究人员开发了一个强化学习框架来控制和稳定双转子气动系统（TRAS）。采用了双延迟深度确定性策略梯度（TD3）算法，因为它适用于连续状态和动作空间，无需系统模型。仿真结果证明了RL控制器的有效性，并在风扰下以及在真实实验室实验中与传统的PID控制器进行了进一步验证。 AI

影响展示了强化学习在复杂气动系统控制方面的新颖应用。

排序理由这是一篇研究论文，详细介绍了强化学习算法在特定控制系统中的新颖应用。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Zeyad Gamal, Youssef Mahran, Ayman El-Badawy · 2026-06-02 04:00

使用双延迟深度确定性策略梯度（TD3）控制双转子

arXiv:2512.13356v2 Announce Type: replace-cross Abstract: This paper proposes a reinforcement learning (RL) framework for controlling and stabilizing the Twin Rotor Aerodynamic System (TRAS) at specific pitch and azimuth angles and tracking a given trajectory. The complex dynamic…