[ Article ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 32, No. 3, pp.143-150

ISSN: 2508-5107 (Online)

Print publication date 15 Jun 2023

Received 27 Mar 2023 Revised 02 Jun 2023 Accepted 07 Jun 2023

DOI: https://doi.org/10.7735/ksmte.2023.32.3.143

외란 모델이 고려된 듀얼 서보 갠트리형 이송계 모델 설계

장현수^a ; 강유수^b ; 권순환^a ; 신진섭^a ; 김병희^a^{, b}^{, *}

Dual Servo Gantry-Type Feed System Modeling with Estimated Disturbance Model

Hyunsu Jang^a ; Yoo-su Kang^b ; Soonhwan Kwon^a ; Jinseop Shin^a ; Byeonghee Kim^a^{, b}^{, *}

aDepartment of Mechatronics Engineering, Kangwon National University
bDepartment of Smart Health Science and Technology, Kangwon National University

Correspondence to: ^*Tel.: +82-33-244-8910 E-mail address: kbh@kangwon.ac.kr (Byeonghee Kim).

Abstract

Methods to design simulation models are classified into system identification methods through experimental estimation and designing methods by analyzing dynamic elements. This study used an analytical method to design a dual-servo gantry-type feed system simulation model with unspecified disturbance and friction models for table positions appearing in low-cost machine tools. The friction model and unspecified disturbance were estimated through experiments in a static state (uniform velocity motion). To minimize the effect on the backlash, the disturbance model was estimated by changing the target speed from 100 mm/min. The feed system model of the Y1 and Y2 axes was dynamically analyzed and designed. The same command was given to the simulation model and commercial machine tools to obtain, compare, and verify the result data. The results confirmed that similar behavior was observed in both cases based on the steady-state error and time constant.

Keywords:

Gantry-type feed system, Analytical system modeling, Estimated unspecified disturbance model, Estimated friction model

Acknowledgments

이 연구는 2022년도 산업통상자원부 및 산업기술평가관리원(KEIT) 연구비 지원과(20012834) 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임(P0020616, 2022년 산업혁신인재성장지원사업).

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Hyunsu Jang

Master in the Department of Smart Health Science and Technology, Kangwon National University. His research interest are Modeling and Identification of Feed System.

E-mail: jang2780@kangwon.ac.kr

Yoo-su Kang

Ph.D. in the Department of Mechatronics Engineering, Kangwon National University. His research interest is CNC.

E-mail: kus2172@kangwon.ac.kr

Soonhwan Kwon

Ph.D. Candidate in the Department of Smart Health Science and Technology, Kangwon National University. His research interest is Precision Control of Feed Derive System.

E-mail: didantm@kangwon.ac.kr

Jinseop Shin

Master‘s Course in the Department of Smart Health Science and Technology, Kangwon National University. His research interest is CNC.

E-mail: js_of_yadang@kangwon.ac.kr

Byeonghee Kim

Professor in the Department of Mechatronics Engineering, Kangwon National University. His research interest is Precision Control of Machine Tools.

E-mail: kbh@kangwon.ac.kr