GA-optimized fuzzy logic control of a large-scale building for seismic loads

Shook, D.; Roschke, Paul N.; Lin, Po Ting; Loh, Chin‐Hsiung

doi:10.1016/j.engstruct.2007.04.008

Cited by 67 publications

(40 citation statements)

References 24 publications

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“…As discussed by Shook et al [17], the solution is non-unique since a state-space formulation is employed in GA optimization. Although the obtained values of stiffness and damping are of limited use for physical interpretation, they do provide an accurate and reliable numerical model of the torsional-benchmark structure.…”

Section: Modeling Of Torsional-benchmark Structure and Mr Dampersmentioning

confidence: 98%

“…Fuzzy models of MR dampers MR1a, MR1b, and MR2b have been proposed in previous literature [17,22] and are employed for the current study in numerical simulations. These models have been generated from data collected during performance trials of each MR damper.…”

Section: Modeling Of Torsional-benchmark Structure and Mr Dampersmentioning

confidence: 99%

“…The NSGA2CE algorithm is a suitable choice due to its multi-objective capabilities. For system identification the original, continuous search space method [17] is adhered to. Later, the discrete search space method is introduced for FLC production.…”

Section: Modeling Of Torsional-benchmark Structure and Mr Dampersmentioning

confidence: 99%

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Semi-active control of a torsionally-responsive structure

Shook

Roschke

Lin

et al. 2009

Engineering Structures

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Section: Modeling Of Torsional-benchmark Structure and Mr Dampersmentioning

confidence: 98%

Section: Modeling Of Torsional-benchmark Structure and Mr Dampersmentioning

confidence: 99%

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Semi-active control of a torsionally-responsive structure

Shook

Roschke

Lin

et al. 2009

Engineering Structures

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“…Experimental verification showed that their proposed dynamic model of the MR damper system predicts the experimental results very well. Shook et al [10] optimized fuzzy logic controllers using Genetic algorithm and investigated the results. Finally, Bitaraf et al [11] proposed two semiactive control methods for seismic protection of structures, using MR damper.…”

Section: Introductionmentioning

confidence: 99%

Semi-active Control of Structure Vibrations with MR Damper Using Fuzzy Control System (FLC) and Optimization through Genetic Algorithm (GA)

El-hami

Daneshdoost

Madady

2011

Lecture Notes in Electrical Engineering

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Abstract. Magneto-Rheological (MR) damper is a new generation of dampers, filled up with a MR fluid. This fluid, when exposed to a magnetic field, will transform regularly from a slipper linear viscous fluid to a semi rigid state. In this article, semi-active control of structures equipped with MR damper is studied. For this purpose, fuzzy control theory is used to determine appropriate command voltage applied to MR damper; and genetic algorithm is used to optimize the fuzzy rules. Then, generated fuzzy rules database will improve fuzzy control system performance relative to experimental fuzzy rules database. Consequently, with applying an appropriate command voltage through an optimized fuzzy control system will decrease vibrations of the structures. The results show that, in the presence of optimized fuzzy rules through genetic algorithm, the amplitude of vibrations is decreased significantly.

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“…The solution to a general optimization process can be associated with this system behavior. The genetic algorithm (GA) is one of the best-known heuristic methods; it has been used to solve structural optimization problems by some researches such as Rajeev and Krishnamoorthy [2], Saka and Kameshki [3], Camp et al [4], Pezeshk et al [5], Erbatur et al [6], Shook et al [7], among many others.…”

Section: Introductionmentioning

confidence: 99%