Article | Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019 | Frequency Response Estimation Method for Modelica Model and Frequency Estimation Toolbox Implementation Linköping University Electronic Press Conference Proceedings
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Title:
Frequency Response Estimation Method for Modelica Model and Frequency Estimation Toolbox Implementation
Author:
Bingrui Bao: Suzhou Tongyuan Software&Control Tech. Co., Ltd. China Junfeng Guo: Suzhou Tongyuan Software&Control Tech. Co., Ltd. China Baokun Zhang: Suzhou Tongyuan Software&Control Tech. Co., Ltd. China Fanli Zhou: Suzhou Tongyuan Software&Control Tech. Co., Ltd. China
DOI:
10.3384/ecp19157805
Download:
Full text (pdf)
Year:
2019
Conference:
Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019
Issue:
157
Article no.:
084
Pages:
6
No. of pages:
805-810
Publication type:
Abstract and Fulltext
Published:
2019-02-01
ISBN:
978-91-7685-122-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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The frequency-response method is widely used because of its convenience and applicability in the control system analysis and design, and the premise of the design based on this method is to obtain the frequency response of the system. Aiming at the problem that the strong nonlinearity is difficult to be linearized in practical engineering systems, this paper presents a method for estimating the frequency response based on the time domain simulation data of Modelica models. The spectrum of the appropriate IO data at the steadystate operating point of the system is analyzed by Fourier transform, and then converted into the frequency response of the system. The proposed method is applicable to the multi-domain Modelica model, FMU, and the black box model. A frequency response estimation toolbox is implemented and integrated into the MWorks platform based on this method, which provides important support for the control design for Modelica model. Simulation examples illustrated the validity of the proposed method and the toolbox.

Keywords: Strong nonlinear system, Frequency response estimation, Toolbox

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019

Author:
Bingrui Bao, Junfeng Guo, Baokun Zhang, Fanli Zhou
Title:
Frequency Response Estimation Method for Modelica Model and Frequency Estimation Toolbox Implementation
DOI:
http://dx.doi.org/10.3384/ecp19157805
References:
No references available

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019

Author:
Bingrui Bao, Junfeng Guo, Baokun Zhang, Fanli Zhou
Title:
Frequency Response Estimation Method for Modelica Model and Frequency Estimation Toolbox Implementation
DOI:
https://doi.org10.3384/ecp19157805
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Last updated: 2019-06-04