Concurrent Control Strategy Research for Non-Gaussian Random Vibration Test

2012 ◽  
Vol 48 (04) ◽  
pp. 193
Author(s):  
Jiayan CHEN
Keyword(s):  
Control Strategy ◽  
Random Vibration ◽  
Vibration Test ◽  
Strategy Research ◽  
Concurrent Control ◽  
Non Gaussian

Application Research for Super-Gaussian Random Vibration Test Control Strategy

2011 ◽  
Vol 141 ◽  
pp. 83-87
Author(s):  
Zhang Wei Chen ◽  
Xiang Wen ◽  
Dong Jiao Chen
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Gaussian Distribution ◽  
Control Strategy ◽  
Random Vibration ◽  
Failure Process ◽  
Incandescent Lamp ◽  
Vibration Test ◽  
Comparison Results ◽  
High Control

The super-Gaussian random vibration test has increasingly attracted attention for its existed advantages in comparison with traditional random vibration test. The super-Gaussian random signal generation principle is investigated in study based on the research about control theory for the super-Gaussian random vibration test, meanwhile, super-Gaussian random drive signal used in control system is obtained from Poisson process and filter theory. The experiment proves that high control accuracy of output power spectrum and kurtosis can be realized by taking super-Gaussian random vibration control strategy proposed in paper, which is consistent with the requirement in engineering. In the end, super-Gaussian random vibration control system is applied into the Highly Accelerated life Testing(HALT) for the incandescent lamp, and a comparison between super-Gaussian random vibration test and traditional Gaussian distribution random vibration test is carried out, the comparison results indicate that super-Gaussian random vibration excitation signal comparing with Gaussian distribution signal can markedly quicken the fatigue failure process for incandescent lamp.

Continuous convolution and nonlinear transformation for multi-shaker non-Gaussian random vibration control

2020 ◽  
pp. 107754632097137
Author(s):  
Ronghui Zheng ◽  
Yue Lu ◽  
Huaihai Chen ◽  
Guoping Chen
Keyword(s):  
Impulse Response ◽  
Physical System ◽  
Random Vibration ◽  
Finite Impulse Response ◽  
Finite Impulse Response Filter ◽  
Nonlinear Transformation ◽  
Vibration Test ◽  
Spectral Densities ◽  
Non Gaussian ◽  
Impulse Response Filter

This study proposes a continuous convolution method combined with memoryless nonlinear transformation for multi-input multi-output stationary non-Gaussian random vibration tests. The challenge of the multi-shaker non-Gaussian random vibration test lies in the coupling problems that are manifested in the inherent physical system and in the existence of cross-spectral densities. In the presented method, the independent stationary Gaussian random signals pass through a designed finite impulse response filter with a convolution manipulation first, and then the resulting signals are transformed to the non-Gaussian random signals by the memoryless nonlinear transformation method. The desired drive signals are obtained by the input–output relationship in the frequency domain. The finite impulse response filter is constructed by the frequency sampling technique in which the amplitude characteristics of the filter are determined by the predefined reference power spectral densities. A new monotonic nonlinear transformation function with an approximate kurtosis solution is provided. It only contains one parameter for kurtosis control both in sub-Gaussian and super-Gaussian cases. The memoryless nonlinear transformation is used to maintain the cross-spectral densities, although some distortions are introduced to the power spectra during the transformation process. The inverse system method is used to overcome the coupling problem caused by the inherent physical system. A simulation example and a triaxial vibration test are carried out, and the results indicate the validity and feasibility of the proposed method.

scholarly journals Multi-exciter stationary non-Gaussian random vibration test with time domain randomization

2019 ◽  
Vol 122 ◽  
pp. 103-116 ◽  
Author(s):  
Ronghui Zheng ◽  
Huaihai Chen ◽  
Dirk Vandepitte ◽  
Zhengbo Luo
Keyword(s):  
Time Domain ◽  
Random Vibration ◽  
Vibration Test ◽  
Non Gaussian

scholarly journals Experimental Design and Validation of an Accelerated Random Vibration Fatigue Testing Methodology

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Yu Jiang ◽  
Gun Jin Yun ◽  
Li Zhao ◽  
Junyong Tao
Keyword(s):  
Fatigue Life ◽  
Stress Responses ◽  
Life Prediction ◽  
Random Vibration ◽  
Fatigue Testing ◽  
Fatigue Tests ◽  
Fatigue Life Prediction ◽  
Power Spectral ◽  
Vibration Fatigue ◽  
Non Gaussian

Novel accelerated random vibration fatigue test methodology and strategy are proposed, which can generate a design of the experimental test plan significantly reducing the test time and the sample size. Based on theoretical analysis and fatigue damage model, several groups of random vibration fatigue tests were designed and conducted with the aim of investigating effects of both Gaussian and non-Gaussian random excitation on the vibration fatigue. First, stress responses at a weak point of a notched specimen structure were measured under different base random excitations. According to the measured stress responses, the structural fatigue lives corresponding to the different vibrational excitations were predicted by using the WAFO simulation technique. Second, a couple of destructive vibration fatigue tests were carried out to validate the accuracy of the WAFO fatigue life prediction method. After applying the proposed experimental and numerical simulation methods, various factors that affect the vibration fatigue life of structures were systematically studied, including root mean squares of acceleration, power spectral density, power spectral bandwidth, and kurtosis. The feasibility of WAFO for non-Gaussian vibration fatigue life prediction and the use of non-Gaussian vibration excitation for accelerated fatigue testing were experimentally verified.

Trajectory control and random vibration control of nonlinear system with dielectric elastomer actuator

2018 ◽  
Vol 29 (11) ◽  
pp. 2424-2436 ◽  
Author(s):  
Yanping Tian ◽  
Yong Wang ◽  
Xiaoling Jin ◽  
Zhilong Huang
Keyword(s):  
Nonlinear System ◽  
Control Strategy ◽  
Primary Structure ◽  
Equilibrium Position ◽  
Random Vibration ◽  
Dielectric Elastomer ◽  
Control Technique ◽  
Dynamic Programming Principle ◽  
Dielectric Elastomer Actuator ◽  
Dielectric Elastomer Actuators

Dielectric elastomer actuators have gained extensive attention in scientific and industrial communities with the rapid development of soft robot technology. There still remain some questions on the control aspect of nonlinear system with dielectric elastomer actuator. The first is whether the soft actuator can successfully drive the primary structure to track an arbitrary prescribed trajectory. The second is how to suppress the random vibration around the equilibrium position when the primary structure is disturbed by external excitation. This article seeks the answers for these two questions. By directly solving the governing equation of motion, an open-loop control technique is designed to track a prescribed trajectory. The effectiveness of the trajectory tracking technique is investigated and the limitation is illustrated by the influence of inertia of the primary structure. Based on the stochastic averaging of energy envelope and stochastic dynamic programming principle, a clipped control strategy is proposed by slightly adjusting the voltage in real time to suppress the random vibration around the equilibrium position. The good effectiveness and high robustness of the clipped control strategy are verified numerically. This work may provide some guidelines for the control aspect of nonlinear systems with dielectric elastomer actuators.

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