Mechanical Engineering

Parameter Identification of Fractional-Order System via Enhanced Response Sensitivity Approach 

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  • Department of Applied Mechanics,School of Aeronautics and Astronautics,Sun Yat-Sen University,Guangzhou 510275,Guangdong,China
刘广(1992-),男,博士生,主要从事非线性振动、参数识别研究。E-mail:liug22@mail2.sysu.edu.cn

Received date: 2019-03-21

  Revised date: 2019-07-27

  Online published: 2020-04-01

Supported by

Supported by the National Natural Science Foundation of China (11972380),the Natural Science Foundation of Guangdong Province ( 2018B030311001 ) and the Science and Technology Planning Project of Guangdong Province(2016A020223006)

Abstract

Compared with the integer order differential operator,fractional order operator can describe some charac-teristics of the system more accurately,such as hereditary and memory properties. In order to find a more accurate and efficient way to solve the fractional order system,a new computational scheme designed to get the system re-sponse was put forward based on Adams-type scheme and the Newmark-β method. The inverse problem of parame-ter identification was considered as a nonlinear optimization problem. And the enhanced response sensitivity method was used to solve the identification equation. Numerical examples show that the calculation format of the direct problem proposed in the paper can quickly and accurately get response from the system,so the enhanced response sensitivity method can accurately identify the parameters of the fractional system and be insensitive to the measure-ment noise.

Cite this article

LIU Guang LIU Jike Lü Zhongrong . Parameter Identification of Fractional-Order System via Enhanced Response Sensitivity Approach [J]. Journal of South China University of Technology(Natural Science), 2020 , 48(4) : 65 -72,94 . DOI: 10.12141/j.issn.1000-565X.190117

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