Abstract
In this paper, we present the sensitivity function shaping method and its experimental validations for the non-collocated active damping system in a ram-type milling machine. While the non-collocated configuration is often required for the practical reasons in the application of the active damper to the machine structure, such configuration can be challenging to obtain the high-gain control under stable conditions. We analyze the frequency response of the non-collocated active damping system where the opposite-phase-mode dynamics limit the achievable control gain. Utilizing the understanding on the non-collocated plant, we shape the sensitivity function to effectively reduce the closed-loop compliance of the dominant mode dynamics under varying ram postures. We experimentally validate the resultant active damping performance, where the peak compliance of the dominant mode is reduced by a maximum of 61 %. The chatter suppression performance due to the enhancement in the dynamic stiffness is also experimentally validated in rough-machining tests using our active damper and the proposed control method.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 415-420 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665413084 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022 - Sapporo, Japan Duration: 2022 Jul 11 → 2022 Jul 15 |
Publication series
| Name | IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM |
|---|---|
| Volume | 2022-July |
Conference
| Conference | 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022 |
|---|---|
| Country/Territory | Japan |
| City | Sapporo |
| Period | 22/7/11 → 22/7/15 |
Bibliographical note
Funding Information:*This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(No. 2020R1C1C100801311), in part by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea government (MOTIE)(P0012744), The Competency Development Program for Industry Specialist), and also in part by the Yonsei University Research Fund under Grant 2020-22-0098. (Corresponding author: Jun Young Yoon.) E K Kim, J W Jung, S W Jung, Y S Kwon, B M Kang and J Y Yoon are with the Department of Mechanical Engineering, Yonsei University, Seoul 03722 South Korea. junyoung.yoon@yonsei.ac.kr C H Lee, K Sim and O H Jo are with Doosan Machine Tools, Changwon 51537 South Korea. changho.dean.lee@doosanmt.com
Publisher Copyright:
© 2022 IEEE.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications
- Software