文章基本信息

标题：Control Method for PEMFC Using Improved Deep Deterministic Policy Gradient Algorithm
本地全文：下载
作者：Jiawen Li ; Yaping Li ; Tao Yu 等
期刊名称：Frontiers in Energy Research
电子版ISSN：2296-598X
出版年度：2021
卷号：9
DOI：10.3389/fenrg.2021.753064
语种：English
出版社：Frontiers Media S.A.
摘要：A data-driven PEMFC output voltage control method is proposed. Moreover, an Improved deep deterministic policy gradient algorithm is proposed for this method. The algorithm introduces three techniques: Clipped multiple Q-learning, policy delay update, and policy smoothing to improve the robustness of the control policy. In this algorithm, the hydrogen controller is treated as an agent, which is pre-trained to fully interact with the environment and obtain the optimal control policy. The effectiveness of the proposed algorithm is demonstrated experimentally.