.png){kind=icon}
返回
Data-Driven MIMO Feedforward Control Approach Based on Measured Step Response
.png){kind=icon}
PRE
AI
DOI：10.1109/TMECH.2023.3301497.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this article, a data-driven multiple-input-multiple-output (MIMO) feedforward control approach is synthesized to enhance the tracking performance of precision MIMO motion systems. Specifically, a MIMO feedforward controller parameterized with polynomial basis functions is employed to address the coupling of MIMO systems. A new data-driven feedforward tuning algorithm for the MIMO feedforward controller is then developed based on the measured step response of the process sensitivity function. The proposed approach requires only one tracking experiment in each iteration, resulting in an experimentally efficient feedforward parameter optimization w.r.t. a user-defined and tracking-performance-related criterion through iterative learning from the measured data. Finally, application to an industrial three degrees-of-freedom motion stage illustrates that the proposed approach outperforms a data-driven single-input-single-output (SISO) feedforward control scheme in terms of tracking performance and achieves good performance robustness against the reference variation.
Keyword:
Data-driven tuning
feedforward control
multiple-input-multiple-output (MIMO)
precision motion systems
期刊
I
IF:
7.3
论文数:
5.4K
被引数:
2.4W
机构
引用论文
Should model-based inverse inputs be used as feedforward under plant uncertainty?在工厂不确定性下，基于模型的逆输入是否应该用作前馈？
PREAI
分享收藏Iterative motion feedforward tuning: A data-driven approach based on instrumental variable identification迭代运动前馈调整: 基于工具变量识别的数据驱动方法
OAAI
OAAI分享收藏Dual-Loop Iterative Learning Control With Application to an Ultraprecision Wafer Stage应用于超精密晶圆平台的双环迭代学习控制
PREAI
分享收藏Analysis and comparison of three discrete-time feedforward model-inverse control techniques for nonminimum-phase systems非最小相位系统三种离散前馈模型逆控制技术的分析与比较.png)
MECHATRONICS
MECHATRONICSIF3.1
PREAI
分享收藏Data-Based Tuning of Reduced-Order Inverse Model in Both Disturbance Observer and Feedforward With Application to Tray Indexing干扰观测器和前馈中降阶逆模型的基于数据的调整，并应用于托盘索引
PREAI
分享收藏
查看更多内容