Magneto-rheological damping control method based on improved leapfrogging algorithm

A technology of magneto-rheological damping and magneto-rheological damper, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of limited optimization effect and achieve obvious effect of shock absorption

Active Publication Date: 2014-05-21
FUZHOU UNIV
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Problems solved by technology

At present, there is no domestic report on optimizing fuzzy controllers using Leapfrog Algorithm. Although there is a literature on optimizing fuzzy controllers using Leapfrog Algorithm abroad, the con

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  • Magneto-rheological damping control method based on improved leapfrogging algorithm
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  • Magneto-rheological damping control method based on improved leapfrogging algorithm

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Embodiment Construction

[0034] refer to figure 1 , the present invention relates to a magneto-rheological damping control method based on an improved leapfrog algorithm, comprising the following steps:

[0035] Firstly, the seismic wave excitation is applied to the building installed with the magneto-rheological damper, and the resulting floor response is input into the fuzzy controller;

[0036] Then the choice of decision variables of the fuzzy controller is transformed into a combinatorial optimization problem applicable to the improved leapfrog algorithm, and the decision variables are encoded and an initial population composed of n individuals is randomly generated, and a suitable multi-objective function of the control structure response and Determine the parameter settings of the improved Leapfrog Algorithm;

[0037] Then, the improved leapfrog algorithm is used to randomly search and optimize the decision variables of the fuzzy controller. The optimized fuzzy controller responds according to...

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Abstract

The invention discloses a magneto-rheological damping control method based on an improved leapfrogging algorithm. A fuzzy controller based on the magneto-rheological damping control method is used to establish a relation between a structural seismic response and input voltage of a magneto-rheological damper, wherein the structural seismic response is input of the fuzzy controller, and the input voltage of the magneto-rheological damper is output of the fuzzy controller. For solving the problem that difficulty is brought to design of the fuzzy controller due to the fact that parameter selection of the fuzzy controller depends on expert advice, the magneto-rheological damping control method uses the improved leapfrogging algorithm to adaptively optimize various parameters of the fuzzy controller, which comprise parameters of a membership function, fuzzy rules and input quantification factors, and therefore guarantees that the fuzzy controller after being optimized can provide superior voltage value for the magneto-rheological damper, and then enables the magneto-rheological damper to provide optimal damping force for constructions in an earthquake. The magneto-rheological damping control method based on the improved leapfrogging algorithm not only can improve effectiveness and stability of a control system, but also can guarantee shock absorption effects.

Description

technical field [0001] The invention relates to a magneto-rheological damping control method based on an improved leapfrog algorithm, which belongs to the field of structure damping, in particular to the field of fuzzy control of structural vibration by using a magneto-rheological damper, and also relates to the field of intelligent design of fuzzy controllers. Background technique [0002] One of the challenges facing structural engineers today is how to effectively protect buildings from damage, especially when they are exposed to earthquakes and strong winds. Because countless facts prove that such damage is likely to cause casualties and huge economic losses. As a semi-active control device, magneto-rheological damper has attracted much attention in recent years because it has the advantages of high reliability of passive control system, low energy consumption demand and high adaptability of active control system. In addition, the advantages of magnetorheological damper...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 陈淑梅林秀芳
Owner FUZHOU UNIV
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