Semi-active fuzzy control of a MR damper on structures by genetic algorithm

Z. S. Huang, Chih-Ping Wu, D. S. Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Over the past decade, applications of structural controls for earthquake hazard mitigation have been paid close attention to: many innovative ideas proposed, and new devices designed, in terms of active, passive and semi-active ones. Of various kinds of semi-active control devices, Magneto-Rheological (MR) damper is our subject matter. It is filled with MR fluid, which can be changed regularly from free flowing liquid, linear viscous one to semi-solid when exposed to a magnetic field. Fuzzy control algorithm is here adopted in the dynamic simulation to calculate the control force induced by MR damper. It is a kind of simple logic algorithms because it is derived from the experts' knowledge which makes the control rules easy to establish, instead of differential equations. However, applying fuzzy control rules is always to deal with the classic problem of optimization. Consequently, how to effectively find out the better control rule is here the main concern. In the paper, we try to improve the system performance by incorporating genetic algorithm(GA) to modify the predefined fuzzy rules. And the three-floor steel structure installed in the National Center for Research on Earthquake Engineering in Taipei is here analyzed as the benchmark structure, and simulated as a shear frame in the numerical analysis. Besides, the software Matlab is used as the simulating tool in our analyzing steps. It can be concluded that, to operate MR damper controlled by fuzzy rules based on genetic algorithm can provide quite satisfying results to reduce the seismic responses of structures subjected to earthquake excitations.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007
PublisherCivil-Comp Press
Volume87
ISBN (Print)9781905088201
Publication statusPublished - 2007 Jan 1
Event9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2007 - St. Julians, Malta
Duration: 2007 Sep 182007 Sep 21

Other

Other9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2007
CountryMalta
CitySt. Julians
Period07-09-1807-09-21

Fingerprint

Fuzzy control
Genetic algorithms
Fuzzy rules
Earthquakes
Force control
Seismic response
Steel structures
Numerical analysis
Hazards
Differential equations
Magnetic fields
Fluids
Computer simulation
Liquids

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Civil and Structural Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence

Cite this

Huang, Z. S., Wu, C-P., & Hsu, D. S. (2007). Semi-active fuzzy control of a MR damper on structures by genetic algorithm. In Proceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007 (Vol. 87). Civil-Comp Press.
Huang, Z. S. ; Wu, Chih-Ping ; Hsu, D. S. / Semi-active fuzzy control of a MR damper on structures by genetic algorithm. Proceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007. Vol. 87 Civil-Comp Press, 2007.
@inproceedings{d97a0692732c49cb87055d111e18ec22,
title = "Semi-active fuzzy control of a MR damper on structures by genetic algorithm",
abstract = "Over the past decade, applications of structural controls for earthquake hazard mitigation have been paid close attention to: many innovative ideas proposed, and new devices designed, in terms of active, passive and semi-active ones. Of various kinds of semi-active control devices, Magneto-Rheological (MR) damper is our subject matter. It is filled with MR fluid, which can be changed regularly from free flowing liquid, linear viscous one to semi-solid when exposed to a magnetic field. Fuzzy control algorithm is here adopted in the dynamic simulation to calculate the control force induced by MR damper. It is a kind of simple logic algorithms because it is derived from the experts' knowledge which makes the control rules easy to establish, instead of differential equations. However, applying fuzzy control rules is always to deal with the classic problem of optimization. Consequently, how to effectively find out the better control rule is here the main concern. In the paper, we try to improve the system performance by incorporating genetic algorithm(GA) to modify the predefined fuzzy rules. And the three-floor steel structure installed in the National Center for Research on Earthquake Engineering in Taipei is here analyzed as the benchmark structure, and simulated as a shear frame in the numerical analysis. Besides, the software Matlab is used as the simulating tool in our analyzing steps. It can be concluded that, to operate MR damper controlled by fuzzy rules based on genetic algorithm can provide quite satisfying results to reduce the seismic responses of structures subjected to earthquake excitations.",
author = "Huang, {Z. S.} and Chih-Ping Wu and Hsu, {D. S.}",
year = "2007",
month = "1",
day = "1",
language = "English",
isbn = "9781905088201",
volume = "87",
booktitle = "Proceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007",
publisher = "Civil-Comp Press",
address = "United Kingdom",

}

Huang, ZS, Wu, C-P & Hsu, DS 2007, Semi-active fuzzy control of a MR damper on structures by genetic algorithm. in Proceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007. vol. 87, Civil-Comp Press, 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2007, St. Julians, Malta, 07-09-18.

Semi-active fuzzy control of a MR damper on structures by genetic algorithm. / Huang, Z. S.; Wu, Chih-Ping; Hsu, D. S.

Proceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007. Vol. 87 Civil-Comp Press, 2007.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Semi-active fuzzy control of a MR damper on structures by genetic algorithm

AU - Huang, Z. S.

AU - Wu, Chih-Ping

AU - Hsu, D. S.

PY - 2007/1/1

Y1 - 2007/1/1

N2 - Over the past decade, applications of structural controls for earthquake hazard mitigation have been paid close attention to: many innovative ideas proposed, and new devices designed, in terms of active, passive and semi-active ones. Of various kinds of semi-active control devices, Magneto-Rheological (MR) damper is our subject matter. It is filled with MR fluid, which can be changed regularly from free flowing liquid, linear viscous one to semi-solid when exposed to a magnetic field. Fuzzy control algorithm is here adopted in the dynamic simulation to calculate the control force induced by MR damper. It is a kind of simple logic algorithms because it is derived from the experts' knowledge which makes the control rules easy to establish, instead of differential equations. However, applying fuzzy control rules is always to deal with the classic problem of optimization. Consequently, how to effectively find out the better control rule is here the main concern. In the paper, we try to improve the system performance by incorporating genetic algorithm(GA) to modify the predefined fuzzy rules. And the three-floor steel structure installed in the National Center for Research on Earthquake Engineering in Taipei is here analyzed as the benchmark structure, and simulated as a shear frame in the numerical analysis. Besides, the software Matlab is used as the simulating tool in our analyzing steps. It can be concluded that, to operate MR damper controlled by fuzzy rules based on genetic algorithm can provide quite satisfying results to reduce the seismic responses of structures subjected to earthquake excitations.

AB - Over the past decade, applications of structural controls for earthquake hazard mitigation have been paid close attention to: many innovative ideas proposed, and new devices designed, in terms of active, passive and semi-active ones. Of various kinds of semi-active control devices, Magneto-Rheological (MR) damper is our subject matter. It is filled with MR fluid, which can be changed regularly from free flowing liquid, linear viscous one to semi-solid when exposed to a magnetic field. Fuzzy control algorithm is here adopted in the dynamic simulation to calculate the control force induced by MR damper. It is a kind of simple logic algorithms because it is derived from the experts' knowledge which makes the control rules easy to establish, instead of differential equations. However, applying fuzzy control rules is always to deal with the classic problem of optimization. Consequently, how to effectively find out the better control rule is here the main concern. In the paper, we try to improve the system performance by incorporating genetic algorithm(GA) to modify the predefined fuzzy rules. And the three-floor steel structure installed in the National Center for Research on Earthquake Engineering in Taipei is here analyzed as the benchmark structure, and simulated as a shear frame in the numerical analysis. Besides, the software Matlab is used as the simulating tool in our analyzing steps. It can be concluded that, to operate MR damper controlled by fuzzy rules based on genetic algorithm can provide quite satisfying results to reduce the seismic responses of structures subjected to earthquake excitations.

UR - http://www.scopus.com/inward/record.url?scp=84893956012&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893956012&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84893956012

SN - 9781905088201

VL - 87

BT - Proceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007

PB - Civil-Comp Press

ER -

Huang ZS, Wu C-P, Hsu DS. Semi-active fuzzy control of a MR damper on structures by genetic algorithm. In Proceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007. Vol. 87. Civil-Comp Press. 2007