Influence of model order reduction methods on dynamical–optical simulations

Johannes Störkle; Peter Eberhard

doi:10.1117/1.JATIS.3.2.024001

6 April 2017 Influence of model order reduction methods on dynamical–optical simulations

Johannes Störkle, Peter Eberhard

Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 3, Issue 2, 024001 (April 2017). https://doi.org/10.1117/1.JATIS.3.2.024001

Abstract

In this work, the influence of model order reduction (MOR) methods on optical aberrations is analyzed within a dynamical–optical simulation of a high precision optomechanical system. Therefore, an integrated modeling process and new methods have to be introduced for the computation and investigation of the overall dynamical–optical behavior. For instance, this optical system can be a telescope optic or a lithographic objective. In order to derive a simplified mechanical model for transient time simulations with low computational cost, the method of elastic multibody systems in combination with MOR methods can be used. For this, software tools and interfaces are defined and created. Furthermore, mechanical and optical simulation models are derived and implemented. With these, on the one hand, the mechanical sensitivity can be investigated for arbitrary external excitations and on the other hand, the related optical behavior can be predicted. In order to clarify these methods, academic examples are chosen and the influences of the MOR methods and simulation strategies are analyzed. Finally, the systems are investigated with respect to the mechanical–optical frequency responses, and in conclusion, some recommendations for the application of reduction methods are given.

Citation Download Citation

Johannes Störkle and Peter Eberhard "Influence of model order reduction methods on dynamical–optical simulations," Journal of Astronomical Telescopes, Instruments, and Systems 3(2), 024001 (6 April 2017). https://doi.org/10.1117/1.JATIS.3.2.024001

Received: 23 November 2016; Accepted: 17 March 2017; Published: 6 April 2017

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