Reduced-order Modeling of Modular, Position-dependent Systems with Translating Interfaces
CoRR(2024)
摘要
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.
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