论文标题
提升转换器中的启发式动态编程方法
The Heuristic Dynamic Programming Approach in Boost Converters
论文作者
论文摘要
在这项研究中，提出了启发式动态编程控制器来控制增强转换器。常规控制器（例如比例积分衍生物（PID）或比例积分（PI））是基于工作点附近的线性小信号模型而设计的。因此，由于系统模型通过改变操作点而变化，因此在启动，负载变化或输入电压变化期间控制器的性能不是最佳的。启发式动态编程控制器通过遵循近似动态编程来最佳地控制增强转换器。 HDP的优势在于，所提出的控制器的基于神经网络的特征使增强转换器可以轻松应对大型干扰。拥有训练有素的评论家和动作网络的HDP可以作为Boost Converter的最佳控制器执行。为了比较传统基于PI的有效性和HDP提升转换器，提供了仿真结果。
In this study, a heuristic dynamic programming controller is proposed to control a boost converter. Conventional controllers such as proportional integral-derivative (PID) or proportional integral (PI) are designed based on the linearized small-signal model near the operating point. Therefore, the performance of the controller during the start-up, the load change, or the input voltage variation is not optimal since the system model changes by varying the operating point. The heuristic dynamic programming controller optimally controls the boost converter by following the approximate dynamic programming. The advantage of the HDP is that the neural network based characteristic of the proposed controller enables boost converters to easily cope with large disturbances. An HDP with a well trained critic and action networks can perform as an optimal controller for the boost converter. To compare the effectiveness of the traditional PI-based and the HDP boost converter, the simulation results are provided.
