Pre‐Filter Design for Iterative Controller Parameter Tuning Using Data‐Driven Minimum Variance Regulatory Controllers
Pre‐Filter Design for Iterative Controller Parameter Tuning Using Data‐Driven Minimum Variance Regulatory Controllers
复制标题
使用数据驱动的最小方差调节控制器进行迭代控制器参数调节的预滤波器设计
DOI：
10.1002/tee.23439
复制
发表时间：
2021
影响因子：
1
通讯作者：
Masuda Shiro
中科院分区：
文献类型：
--
作者：
Shiroi Shotaro;Masuda Shiro
数据驱动的最小方差调节控制器使用调节控制数据直接调整控制器参数，以改善干扰衰减特性。该方法最初是为单次控制器参数整定而导出的。接下来是迭代方法，只需重复一次调谐方法。本工作考虑了这种迭代控制器参数整定方法，并提出了一种基于梯度的预滤波器，使数据驱动成本准则的梯度向量与原始基于模型的成本准则之一具有几乎相同的方向，而成本准则的全局最小化者保持不变。前置滤波器在分母中包含反馈不变多项式，其可以从闭合输出的时间序列分析和输入延迟时间的信息中估计。最后，通过一个数值算例说明了预滤波器设计的有效性。© 2021日本电气工程师协会。由Wiley期刊有限责任公司出版。
Data‐driven minimum variance regulatory controllers directly tunes controller parameters using regulatory control data for improving disturbance attenuation properties. The approach is originally derived for one‐shot controller parameter tuning. That is followed by iterative methods by way of just repeating one‐shot tuning method. The present work considers such iterative controller parameter tuning method, and proposes a gradient‐based pre‐filter that makes the gradient vector of the data‐driven cost criterion have almost the same direction as one of the original model‐based cost criterion while the global minimizer of the cost criterion remains unchanged. The pre‐filter includes the feedback invariant polynomial in the denominator, which can be estimated from time‐series analysis of the closed‐output and the information of the input delay time. Finally, the effectiveness of the pre‐filter design is shown through a numerical example. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.