Fuzzy sliding mode control for a building structure based on genetic algorithms

Wang, An-Pei; Lee, Chen-Der

doi:10.1002/eqe.127.abs

Cited by 2 publications

(2 citation statements)

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“…Despite all that, this device control is characterized by the intrinsically non‐linear behaviour, which stays a major disadvantage. It is the one of the reasons why many non‐linear control algorithms, such as clipped optimal control, bang–bang control, Lyapunov stability theory, fuzzy logic, and fuzzy sliding mode, have been extensively developed to optimize dynamic performance of the MR damper. In this paper, the choice of the control algorithm will be focused on the fuzzy logic, as its implementation has demonstrated its efficiency in various engineering fields.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy magnetorheological device vibration control of the two Timoshenko cantilever beams interconnected under earthquake excitation

Ndemanou

Nbendjo

2018

Structural Design Tall Build

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Summary This paper deals with the nonstationary random response of the two tall buildings connected via a magnetorheological device. The Timoshenko cantilever beam approach is used to model each of the structures. An analytical procedure for obtaining the modal equations of the whole structural system is detailed. By applying numerically the peak of root‐mean‐square displacement approach, the optimal attachment point of the control device on the structures benefited to the first two vibration modes is determined. Furthermore, a fuzzy controller rule is used to model the failure data by computing the desired voltage leading to a good control at each mode.

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Section: Introductionmentioning

confidence: 99%

Fuzzy magnetorheological device vibration control of the two Timoshenko cantilever beams interconnected under earthquake excitation

Ndemanou

Nbendjo

2018

Structural Design Tall Build

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“…Das et al [11] studied fuzzy control for seismic protection of civil engineering structures using MR dampers. Wang and Lee [12] used genetic algorithm to optimize fuzzy rule to improve the performance of fuzzy control method. To deal with near-fault and far-field earthquake excitations, Reigles and Symans [13] proposed a supervisory fuzzy controller to regulate two lower-level fuzzy controllers.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Control for Seismic Protection of Semiactive Base-Isolated Structures Subjected to Near-Fault Earthquakes

Zhao

2015

Mathematical Problems in Engineering

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This paper proposes a new fuzzy logic controller, which is designed for seismic protection of base-isolated structures utilizing piezoelectric friction damper against near-fault earthquakes for different ground sites. According to the elastic design spectrum that Eurocode 8 recommends, one 5% damped elastic design spectrum for Chi-Chi earthquake is proposed to generate artificial earthquakes of different ground sites. The proposed controller employs a hierarchic fuzzy control algorithm, in which a supervisory fuzzy controller governs a sublevel fuzzy controller by altering its input normalization factors according to current level of ground motion. In order to simultaneously reduce the base displacement and superstructure responses of the base-isolated structure during seismic excitations, genetic algorithm is employed to optimize the supervisory fuzzy controller and the preload of piezoelectric friction damper. The efficiency of the proposed controller is also compared with passive controller and a linear quadratic Gauss optimal controller. Numerical results show that the proposed fuzzy logic controller has favorable performance in mitigating the responses of the base-isolated structure.

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Fuzzy sliding mode control for a building structure based on genetic algorithms

Cited by 2 publications

References 0 publications

Fuzzy magnetorheological device vibration control of the two Timoshenko cantilever beams interconnected under earthquake excitation

Fuzzy magnetorheological device vibration control of the two Timoshenko cantilever beams interconnected under earthquake excitation

Fuzzy Control for Seismic Protection of Semiactive Base-Isolated Structures Subjected to Near-Fault Earthquakes

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