Semi-active fuzzy control of SDOF systems under loading of rotary machines by tuned mass dampers

Document Type : Research Article

Authors

1 international institute of earthquake engineering and seismology

2 Earthquake Engineering Department, University of Tehran, Tehran, Iran

3 School Civil Engineering, University of Tehran, Tehran, Iran

Abstract

Dynamic vibrations of mechanical equipment might undesirably affect their performance and the structures on which they are installed. The gradual increase in angular velocity of such equipment and getting close to natural frequency of the structure leads to some phenomena such as resonance, pseudo resonance, beating and pseudo beating phenomenon. Therefore, dynamic responses of these structures should be reduced. Tuned mass dampers (TMDs) as one of the most reliable and simplest instruments to achieve this goal have been attracted by experts. The inertia force makes this kind of dampers vibrate in opposite direction and cause reduction in response of structure. Within seconds, by dedicating various parameters for TMD, their great performance can be augmented. There are lots of different strategies to assign these variable parameters. In this study, semi-active control approaches have been used to decrease the response of a single degree of freedom structure subjected to the above[1]mentioned probabilistic phenomena. In addition, some existing optimum functions have been applied to determine the TMD’s frequency and damping parameters. These parameters of semi-active TMD are predicted utilizing two different strategies: the fuzzy logic system and ground-hook algorithm. The logic of making alteration to damping ratio is based on regaining the equilibrium of structure as it vibrates. Copping with different phenomena, results of this investigation indicate the advantages of using semi-active tuned mass damper to dramatically decrease the system displacement by 32 to 47 percent. Moreover, using fuzzy logic systems to set damping parameters of TMD, results in 1.5 to 6.2 percent displacement reduction in comparison with Ground-Hook algorithm. The conducted analysis for a wide range of optimal frequencies illustrate that fuzzy logic system is less sensitive to mistuning of TMD’s optimal frequency

Keywords

Main Subjects

References

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Amirkabir Journal of Civil Engineering
Volume 51, Issue 5
November and December 2019
Pages 1047-1062

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