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Design and application of a data-driven PID controller

机译:数据驱动PID控制器的设计与应用

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Research on database utilization has received much attention in recent years. This paper presents a data-driven proportional-integral-derivative (DD-PID) controller design method that uses a large database. In this method, a large data-set comprising input/output (I/O) data and control parameters is stored in a database in advance, and current control parameters are tuned by using the database in an online manner. The DD-PID controller design method utilizes the fictitious reference iterative tuning (FRIT) approach to learn control parameters in the database in an offline manner by utilizing initial experimental I/O data. This method is called the DD-FRIT method. In the study, the DD-FRIT method was applied to a nonlinear tank system to evaluate its effectiveness. This paper is structured as follows. First, the DD-PID controller design method is presented. Next, the offline learning algorithm that combines the design method with FRIT is explained. Finally, the results of a simulation and experiment are presented to demonstrate the effectiveness of the proposed method. These results showed that control parameters in the database were learned appropriately by the proposed method, and good control results were obtained.
机译:近年来,对数据库利用率的研究已引起广泛关注。本文提出了一种使用大型数据库的数据驱动比例积分微分(DD-PID)控制器设计方法。在这种方法中,包含输入/输出(I / O)数据和控制参数的大型数据集已预先存储在数据库中,并且通过在线使用数据库来调整当前控制参数。 DD-PID控制器设计方法利用虚拟参考迭代调整(FRIT)方法,通过利用初始实验I / O数据以离线方式学习数据库中的控制参数。此方法称为DD-FRIT方法。在研究中,将DD-FRIT方法应用于非线性储罐系统以评估其有效性。此篇文章的结构如下。首先,介绍了DD-PID控制器的设计方法。接下来,说明将设计方法与FRIT相结合的离线学习算法。最后,通过仿真和实验结果证明了该方法的有效性。这些结果表明,该方法可以适当地学习数据库中的控制参数,取得了良好的控制效果。

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