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An Improved Inverse Modeling Method for Magnetorheological Damper

A magnetorheological damper and inverse modeling technology, applied in the fields of dynamics modeling and artificial intelligence, can solve problems such as insufficient inverse model accuracy, and achieve the effect of avoiding dimensional disaster and improving prediction accuracy.

Active Publication Date: 2022-05-13
MINJIANG UNIV
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Problems solved by technology

This method can effectively solve the problem of insufficient accuracy of the inverse model, and finally realize the precise control of the damping force, so that the magnetorheological damper can give full play to its damping performance

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  • An Improved Inverse Modeling Method for Magnetorheological Damper
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  • An Improved Inverse Modeling Method for Magnetorheological Damper

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[0052] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0053] 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.

[0054] 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 combina...

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Abstract

The invention relates to an improved reverse modeling method of a magneto-rheological damper. First, determine the structure of ANFIS, and obtain the training data of the ANFIS reverse model; then use the improved crow search algorithm to improve the ANFIS training algorithm, which uses the improved crow search algorithm to optimize the membership function parameters of ANFIS, and uses the least square method to adjust its The parameters of the fuzzy rules are finally obtained to obtain the optimal ANFIS inverse model of the MR damper, so that it can accurately predict the control voltage of the MR damper; finally, based on the forward model of the MR damper, the predicted damping force is calculated. The invention can make up for the defects of the traditional ANFIS modeling technology in terms of algorithms, so that the improved ANFIS reverse model can improve the voltage prediction accuracy of the MR damper, thereby improving the prediction accuracy of the damping force and enhancing the shock absorption (vibration) of the MR damper Effect.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and dynamic modeling, in particular to an improved reverse modeling method for a magnetorheological damper. Background technique [0002] The MR damper is an intelligent semi-active vibration reduction device with broad application prospects. It has many advantages such as high failure safety, fast response, low energy consumption, large output, and large dynamic range. However, due to the magnetic The rheological fluid has a complex constitutive relationship, which makes the damping force have obvious hysteretic characteristics and complex nonlinearity, which brings challenges to the establishment of an inverse dynamics model that can accurately predict the control signal of the MR damper. [0003] The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the neural network and the fuzzy system, and learns from each other. It is an intelligent algorithm that has both the self-learning abi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06N3/08G06N3/04G06N5/04
Inventor 林秀芳郑祥盘唐晓腾
Owner MINJIANG UNIV
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