Study on a Nonlinear Dynamic Model and Its Parameters Determination Method for Half-Sine Programmer

A nonlinear dynamic model for describing shock response of half-sine programmer in shock test is constructed, in which many important factors in half-sine programmer such as size, hard nonlinearity, damping and initial impact velocity are considered, based on the damped Duffing equation, and the emp...

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Format: Article
Language:zho
Published: The Northwestern Polytechnical University 2019-12-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
qga
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2019/06/jnwpu2019376p1085/jnwpu2019376p1085.html
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spelling doaj-eccc0c403da444e2a007e7c472be0b0e2021-05-03T01:24:15ZzhoThe Northwestern Polytechnical UniversityXibei Gongye Daxue Xuebao1000-27582609-71252019-12-013761085109410.1051/jnwpu/20193761085jnwpu2019376p1085Study on a Nonlinear Dynamic Model and Its Parameters Determination Method for Half-Sine Programmer012Beijing Institute of Electronic System EngineeringShanghai Aerospace System EngineeringSchool of Astronautics, Northwestern Polytechnical UniversityA nonlinear dynamic model for describing shock response of half-sine programmer in shock test is constructed, in which many important factors in half-sine programmer such as size, hard nonlinearity, damping and initial impact velocity are considered, based on the damped Duffing equation, and the empirical static stiffness and shock stiffness calculation formulas of cylindrical rubber isolator. The shock pulse of half-sine programmer is measured and calculated by using shock test machine and Runge-Kutta method. Taking the minimum determination coefficient between the calculated and the measured shock pulse as the optimization objective, the parameters in the present model are determined by using quantum genetic algorithm (QGA), and meanwhile the extreme capacity in the present model for describing the dynamic behavior of half-sine programmer under shock excitations can also be verified. Experiments were implemented with drop shock test machine. The experimental results show that the present model is precise and efficient, and the prediction errors of pulse peaks and pulse widths were all below 5%, the waveform fitting errors between the calculated and the measured pulses are all less than 15%. The present results are helpful for designing the half-sine programmer.https://www.jnwpu.org/articles/jnwpu/full_html/2019/06/jnwpu2019376p1085/jnwpu2019376p1085.htmlshock testhalf-sine programmernonlinear dynamicsqgaparameters determination
collection DOAJ
language zho
format Article
sources DOAJ
title Study on a Nonlinear Dynamic Model and Its Parameters Determination Method for Half-Sine Programmer
spellingShingle Study on a Nonlinear Dynamic Model and Its Parameters Determination Method for Half-Sine Programmer
Xibei Gongye Daxue Xuebao
shock test
half-sine programmer
nonlinear dynamics
qga
parameters determination
title_short Study on a Nonlinear Dynamic Model and Its Parameters Determination Method for Half-Sine Programmer
title_full Study on a Nonlinear Dynamic Model and Its Parameters Determination Method for Half-Sine Programmer
title_fullStr Study on a Nonlinear Dynamic Model and Its Parameters Determination Method for Half-Sine Programmer
title_full_unstemmed Study on a Nonlinear Dynamic Model and Its Parameters Determination Method for Half-Sine Programmer
title_sort study on a nonlinear dynamic model and its parameters determination method for half-sine programmer
publisher The Northwestern Polytechnical University
series Xibei Gongye Daxue Xuebao
issn 1000-2758
2609-7125
publishDate 2019-12-01
description A nonlinear dynamic model for describing shock response of half-sine programmer in shock test is constructed, in which many important factors in half-sine programmer such as size, hard nonlinearity, damping and initial impact velocity are considered, based on the damped Duffing equation, and the empirical static stiffness and shock stiffness calculation formulas of cylindrical rubber isolator. The shock pulse of half-sine programmer is measured and calculated by using shock test machine and Runge-Kutta method. Taking the minimum determination coefficient between the calculated and the measured shock pulse as the optimization objective, the parameters in the present model are determined by using quantum genetic algorithm (QGA), and meanwhile the extreme capacity in the present model for describing the dynamic behavior of half-sine programmer under shock excitations can also be verified. Experiments were implemented with drop shock test machine. The experimental results show that the present model is precise and efficient, and the prediction errors of pulse peaks and pulse widths were all below 5%, the waveform fitting errors between the calculated and the measured pulses are all less than 15%. The present results are helpful for designing the half-sine programmer.
topic shock test
half-sine programmer
nonlinear dynamics
qga
parameters determination
url https://www.jnwpu.org/articles/jnwpu/full_html/2019/06/jnwpu2019376p1085/jnwpu2019376p1085.html
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