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- W3097110652 abstract "Frequency Response Functions (FRFs) are essential in mechatronic systems and its application ranges from system design and validation to controller design and diagnostics. The aim of this paper is to optimally design experiments for FRF identification of multivariable motion systems subject to element-wise power constraints. A multivariable excitation design framework is established that explicitly addresses the frequency-wise directionality of the system to be identified. The design problem involves solving a rank-constrained optimization problem, which is non-convex and NP-hard in most cases. Two algorithms to solving this problem approximately are presented that rely on a convex (semi-definite) relaxation of the original problem. Additionally, exact solutions for several special cases are presented. The two algorithms are shown to overcome the limitations of traditional excitation design. This is confirmed by experimental results from a 7 × 8 wafer stage setup, which show a significant improvement of the FRF quality using the proposed techniques over traditional design approaches." @default.
- W3097110652 created "2020-11-09" @default.
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- W3097110652 date "2020-11-01" @default.
- W3097110652 modified "2023-09-25" @default.
- W3097110652 title "Mechatronics: 2021 and beyond" @default.
- W3097110652 doi "https://doi.org/10.1016/j.mechatronics.2020.102446" @default.
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