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Semi-active optimal prediction control method for structure

A technology of optimal prediction and control methods, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., and can solve problems such as the difficulty in determining the weighting function of the active controller

Active Publication Date: 2020-03-06
MINJIANG UNIV
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Problems solved by technology

[0007] In view of this, the purpose of the present invention is to propose a structural semi-active optimal predictive control method, which can not only effectively solve the problem that the weighting function of the active controller is difficult to determine, make up for the shortcomings of the traditional LQG control effect, but also improve the MR damping The accuracy of the control signal of the

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  • Semi-active optimal prediction control method for structure

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[0102] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0103] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0104]It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinat...

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Abstract

The invention relates to a semi-active optimal prediction control method for a structure. The method comprises the steps of: introducing a gray prediction system to predict the input of an LQG controller, then carrying out optimization design of the parameters of the LQG controller through adoption of a whale optimization algorithm, and finally achieving the semi-active prediction control of the structure through combination with an adaptive neural fuzzy inference system. According to the method, the problem that the weighting function of the active controller is difficult to determine can beeffectively solved, the defect that the traditional LQG control effect is insufficient is overcome, and the control signal precision of an MR damper can be improved. Moreover, the time lag in the system can be effectively compensated through a prediction mechanism, so that the control system can give full play to the performance of a magneto-rheological damper, and finally, the purpose of effectively inhibiting the response of a building structure is achieved.

Description

technical field [0001] The invention relates to the technical field of anti-seismic design of civil structures, in particular to a semi-active optimal predictive control method for structures. Background technique [0002] The quality of the seismic performance of civil structures is related to the safety of human life and property. How to improve the seismic performance of civil structures has always been a research hotspot in the field of engineering. Magneto-rheological damper is a promising intelligent semi-active control device, which combines the advantages of active control device and passive control device. The shock absorption technology of building structures based on it has become a research hotspot in the field of civil engineering. In order to make full use of the excellent damping characteristics of magnetorheological dampers, the research on semi-active control based on MR dampers still needs to be further deepened. [0003] The linear quadratic Gaussian cont...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 林秀芳唐晓腾郑祥盘
Owner MINJIANG UNIV
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