Fuzzy sliding-mode control of structures

Alli, Hasan; Yakut, Oğuz

doi:10.1016/j.engstruct.2004.10.007

Cited by 77 publications

(39 citation statements)

References 17 publications

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“…Overall control performance, using the rule base in Table 1(b) for computation of α. [17]. In this study, the centroid method is used for the defuzzification process.…”

Section: Self-tuning Fuzzy Logic Controller Designmentioning

confidence: 99%

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Self-tuning fuzzy logic control of crane structures against earthquake induced vibration

et al. 2010

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Self-tuning fuzzy logic controllers (STFLC) for the active control of Marmara Kocaeli Earthquake excited crane structures are studied in this paper. Vibration control using intelligent controllers, such as fuzzy logic has attracted the attention of structural control engineers during the last few years, because fuzzy logic can handle, uncertainties and heuristic knowledge and even non-linearities effectively and easily. The improved seismic control performance can be achieved by converting a simply designed static gain into a real time variable dynamic gain through a self-tuning mechanism. A self-tuning fuzzy logic controller is designed to reduce the vibrations of the crane structure. The simulated system has a five degrees-offreedom and modeled system was simulated against the ground motion of the Marmara Kocaeli Earthquake (M w = 7.4) in Turkey on August 17, 1999. At the end of the study, the time history of the crane bridge and portal legs displacements, accelerations, and frequency responses of the both uncontrolled and controlled cases are presented. Additionally, the performance of the designed STFLC is also compared with a PD controller. Simulations of an earthquake excited bridge and portal legs are performed to prove the validity of proposed control strategy.

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“…Overall control performance, using the rule base in Table 1(b) for computation of α. [17]. In this study, the centroid method is used for the defuzzification process.…”

Section: Self-tuning Fuzzy Logic Controller Designmentioning

confidence: 99%

“…The most important case of this method is that α depends on the instantaneous process states, not any process parameter. Therefore, the proposed self-tuning scheme is model independent [17]. The rule base for computing u and u 1 is shown in Table 1(a).…”

Section: Self-tuning Fuzzy Logic Controller Designmentioning

confidence: 99%

Self-tuning fuzzy logic control of crane structures against earthquake induced vibration

et al. 2010

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“…Guclu [12,13] applied sliding mode and proportional-integral-derivative control for structures with and without an active-massdamper. Alli and Yakut [14,15] applied robust fuzzy sliding-mode control for seismic isolation of an earthquake induced structure and proposed controller was compared with conventional sliding mode controller. Guclu and Yazici designed fuzzy logic and PID controller for a nonlinear structural system against earthquakes [16].…”

Section: Introductionmentioning

confidence: 99%

Self-tuning fuzzy logic control of a non-linear structural system with ATMD against earthquake

Güçlü

Yazıcı

2008

Nonlinear Dyn

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Self-tuning fuzzy logic controllers (STFLC) for the active control of Marmara Kocaeli earthquake excited building structures are studied in this paper. Vibration control using intelligent controllers, such as fuzzy logic has attracted the attention of structural control engineers during the last few years, because fuzzy logic can handle nonlinearities, uncertainties, and heuristic knowledge effectively and easily. The improved seismic control performance can be achieved by converting a simply designed static gain into a real time variable dynamic gain through a selftuning mechanism. Self-tuning fuzzy logic controller is designed to reduce the story-drift of each floor.The simulated system has a nine-degree-of-freedom, which is modeled using nonlinear behavior of the base-structure interaction. Modeled system was simulated against the ground motion of the Marmara Kocaeli earthquake (M w = 7.4) in Turkey on 17 August, 1999. At the end of the study, the time history of the story displacements, accelerations, ATMD displacements, control voltage, and frequency responses of the both uncontrolled and controlled cases are presented. The robustness of the controller has been checked through the uncertainty in stiffness of the structure. Performance of the designed STFLC has been demonstrated for the different disturbance using ground motion of the Kobe earthquake. Simulations of an earthquake excited nine story structure are performed to prove the validity of proposed control strategy.

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“…For resolving this problem. The FSMC [8][9][10][11], a hybrid of the SMC and FLC, gives a simple Organizing above equations, we obtain:…”

Section: Introductionmentioning

confidence: 99%

Interval Type II Fuzzy Sliding Mode Controller Tuned With PSO Designed for Attitude Control of Micro Aircraft Vehicle

Chen¹,

Li²,

Li³

2015

IJCA

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Fuzzy sliding-mode control of structures

Cited by 77 publications

References 17 publications

Self-tuning fuzzy logic control of crane structures against earthquake induced vibration

Self-tuning fuzzy logic control of crane structures against earthquake induced vibration

Self-tuning fuzzy logic control of a non-linear structural system with ATMD against earthquake

Interval Type II Fuzzy Sliding Mode Controller Tuned With PSO Designed for Attitude Control of Micro Aircraft Vehicle

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