Reduced-order Modeling of Modular, Position-dependent Systems with Translating Interfaces (2402.06829v1)
Abstract: Many complex mechatronic systems consist of multiple interconnected dynamical subsystems, which are designed, developed, analyzed, and manufactured by multiple independent teams. To support such a design approach, a modular model framework is needed to reduce computational complexity and, at the same time, enable multiple teams to develop and analyze the subsystems in parallel. In such a modular framework, the subsystem models are typically interconnected by means of a static interconnection structure. However, many complex dynamical systems exhibit position-dependent behavior (e.g., induced by translating interfaces) which cannot be not captured by such static interconnection models. In this paper, a modular model framework is proposed, which allows to construct an interconnected system model, which captures the position-dependent behavior of systems with translating interfaces, such as linear guide rails, through a position-dependent interconnection structure. Additionally, this framework allows to apply model reduction on subsystem level, enabling a more effective reduction approach, tailored to the specific requirements of each subsystem. Furthermore, we show the effectiveness of this framework on an industrial wire bonder. Here, we show that including a position-dependent model of the interconnection structure 1) enables to accurately model the dynamics of a system over the operating range of the system and, 2) modular model reduction methods can be used to obtain a computationally efficient interconnected system model with guaranteed accuracy specifications.
- Thomas JR Hughes. The finite element method: linear static and dynamic finite element analysis. Courier Corporation, 2012.
- Model reduction of interconnected linear systems. Optimal Control Applications and Methods, 30(3):225–245, 2009.
- Modular model reduction for interconnected systems. Automatica, 26(2):251–261, 1990.
- Roy R Craig Jr. Coupling of substructures for dynamic analyses-an overview. In 41st Structures, Structural Dynamics, and Materials Conference and Exhibit, page 1573, 2000.
- Daniel J Rixen. A dual craig–bampton method for dynamic substructuring. Journal of Computational and Applied Mathematics, 168(1-2):383–391, 2004.
- General framework for dynamic substructuring: history, review and classification of techniques. AIAA Journal, 46(5):1169–1181, 2008.
- A survey of model reduction by balanced truncation and some new results. International Journal of Control, 77(8):748–766, 2004.
- Athanasios C Antoulas. Approximation of large-scale dynamical systems. SIAM, Philadelphia, 2005.
- Cornelius Lanczos. An iteration method for the solution of the eigenvalue problem of linear differential and integral operators. Journal of Research of the National Bureau of Standards, 45(4), 1950.
- Walter Edwin Arnoldi. The principle of minimized iterations in the solution of the matrix eigenvalue problem. Quarterly of Applied Mathematics, 9(1):17–29, 1951.
- Roy R Craig Jr and Mervyn C C Bampton. Coupling of substructures for dynamic analyses. AIAA Journal, 6(7):1313–1319, 1968.
- D N Herting. A general purpose, multi-stage, component modal synthesis method. Finite Elements in Analysis and Design, 1(2):153–164, 1985.
- S Rubin. Improved component-mode representation for structural dynamic analysis. AIAA Journal, 13(8):995–1006, 1975.
- A survey on model reduction of coupled systems. Model Order Reduction: Theory, Research Aspects and Applications, pages 133–155, 2008.
- Model reduction of interconnected systems. In Model Order Reduction: Theory, Research Aspects and Applications, pages 305–321. Springer, 2008.
- Agnieszka Lutowska. Model order reduction for coupled systems using low-rank approximations. PhD thesis, Eindhoven University of Technology, 2012.
- Passivity-preserving, balancing-based model reduction for interconnected systems. In Proceedings of the 22nd IFAC World Congress, pages 4240–4245, 2023.
- The meaning of structure in interconnected dynamic systems. arXiv preprint arXiv:1108.2755, 2011.
- Modular model reduction of interconnected systems: A top-down approach. In Proceedings of the 22nd IFAC World Congress, pages 4246–4251, 2023.
- Modular model reduction of interconnected systems: A robust performance analysis perspective. Automatica, 160:111423, 2024.
- Design of mechatronic systems with configuration-dependent dynamics: simulation and optimization. IEEE/ASME Transactions on Mechatronics, 13(6):638–646, 2008.
- Integrated structure and control design for mechatronic systems with configuration-dependent dynamics. Mechatronics, 19(6):1016–1025, 2009.
- A frequency-based substructuring approach to efficiently model position-dependent dynamics in machine tools. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 229(3):304–317, 2015.
- Predicting the position-dependent dynamics of machine tools using progressive network. Precision Engineering, 73:409–422, 2022.
- A priori error bounds for model reduction of interconnected linear systems using robust performance analysis. In 2022 American Control Conference (ACC), pages 1867–1872, 2022.
- Analytical and finite element modeling of the dynamic characteristics of a linear feeding stage with different arrangements of rolling guides. Mathematical Problems in Engineering, 2014:1–11, 2014.
- Finite element analysis using nonconforming mesh. Journal of Computing and Information Science in Engineering, 8:031005–1, 2008.
- Ansys Inc. Mechanical version: (2021 R1), 2023.
- MathWorks Inc. Matlab version: (r2023a), 2023.