|
Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Engineering / Faculty of Engineering >
Peer-reviewed Journal Articles, etc >
Two-Degree-of-Freedom Controller Design Based on a Data-Driven Estimation Approach
| Title: | Two-Degree-of-Freedom Controller Design Based on a Data-Driven Estimation Approach |
| Authors: | Sakai, Tatsunari Browse this author | | Yahagi, Shuichi Browse this author | | Kajiwara, Itsuro Browse this author →KAKEN DB |
| Keywords: | Data-driven control | | parameter tuning | | two-degree-of-freedom controller |
| Issue Date: | 10-Nov-2022 |
| Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
| Journal Title: | IEEE Access |
| Volume: | 10 |
| Start Page: | 120475 |
| End Page: | 120491 |
| Publisher DOI: | 10.1109/ACCESS.2022.3221415 |
| Abstract: | Data-driven control design is a method to create and tune controllers directly from the initial experimental data without a mathematical model to be controlled. Tracking and disturbance suppression are necessary to control real systems. A two-degree-of-freedom (2DOF) control system is effective to simultaneously enhance the performances of both. This study proposes a direct data-driven tuning method for the controller parameters of a 2DOF control system using only one-shot initial experimental data without mathematical modeling of the controlled object. The proposed approach improves the tracking and disturbance suppression performances by utilizing an estimation method in which the sensitivity function and the closed-loop transfer function are identified after updating the parameters in the time domain. Specifically, the closed-loop response and control input are estimated after updating the parameters, realizing efficient control system design because the control performance can be evaluated prior to implementation. To validate the effectiveness of the proposed method, a simulation for a mechanical system and an experiment for motor control are performed. The proposed method can estimate the response and control input of a 2DOF control system after updating the parameters by offline computations. The optimal control parameters can be obtained to enhance the tracking and disturbance suppression performances. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/87623 |
| Appears in Collections: | 工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
|
