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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2016, Vol. 37 ›› Issue (5): 1544-1551.doi: 10.7527/S1000-6893.2016.0039

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Generation of multi-input multi-output non-Gaussian driving signal based on inverse system method

CHEN Huaihai1, WANG Pengyu1, SUN Jianyong2   

  1. 1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. China Aero Polytechnology Establishment, Beijing 100028, China
  • Received:2015-07-10 Revised:2016-02-13 Online:2016-05-15 Published:2016-02-24
  • Supported by:

    Aeronautical Science Foundation of China (20140241002);A Project Funded by the Priority Academic Program Development of Higher Education Institutions of Jiangsu Province

Abstract:

The multi-input multi-output (MIMO) vibration environment test is a new method in the vibration testing area, which can replicate the vibration environment endured by a structure under the practical situation more accurately than the traditional single-input single-output (SISO) manner. The traditional random vibration test with frequency domain method aims to generate a stationary and Gaussian vibration environment. But the practical vibration environments are always non-Gaussian, which can cause different damages to the structures compared with Gaussian excitations. Thus, it is significant to study the MIMO non-Gaussian test method. The generation of the driving signals is the key in the vibration environment test. In this paper, a method for generating MIMO non-Gaussian driving signals based on inverse system and phase manipulation is proposed. First, phase manipulation is used to generate the pseudo random non-Gaussian responses according to the given reference power spectrum densities (PSD) and kurtoses. Then inverse system method is used to generate the pseudo driving signals. Finally, the real random non-Gaussian driving signals are obtained by time domain randomization. A two-input two-output cantilever beam model is selected as an example. The simulation results indicate that the error between the output response spectra and the reference ones meets the ±3 dB requirements in engineering practice and the values of kurtoses of the outputs are very close to the reference ones. Thus, the proposed method is valid.

Key words: vibration environment test, MIMO, power spectrum density, non-Gaussian, kurtosis, inverse system

CLC Number: