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A deep reinforcement learning-based control method for electric linear loading systems
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DOI：10.1007/s12206-025-1139-8.png)
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摘要
En 中文
为解决变负载下电直线加载系统的复杂参数整定问题，提出了一种深度强化学习与PI算法的复合控制方法。改进的前馈策略在应对力和非线性的同时降低了复杂度。自适应PI算法（FC-TD3）结合了TD3算法与在线整定策略。以该系统为实验对象，将离线学习得到的最佳参数应用于系统中。实验证明该方法优化了参数并提升了系统性能。
Keyword:
Electric linear loading system
Deep reinforcement learning
Feedforward compensation strategy
TD3 algorithm
Parameter tuning
期刊
IF:
1.7
论文数:
601
被引数:
1.2W
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