Magneto-rheological damper hybrid modeling method

A magneto-rheological damper and hybrid modeling technology, applied in the direction of instruments, adaptive control, control/regulation systems, etc., can solve the problems affecting the nonlinear behavior description of the model accuracy, reduce the burden of online calculation, improve accuracy, Promote the effect of development and application
CN110286586APending Publication Date: 2019-09-27JIANGSU UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGSU UNIV
Publication Date
2019-09-27

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Abstract

The invention designs a magneto-rheological damper hybrid modeling method. The method mainly comprises the four steps of: performing mechanical property experiment on a magneto-rheological damper, analyzing the power indication and speed characteristics, and obtaining the original experiment data of the piston displacement, the speed, the current and the damping force; performing numerical filtering and normalization processing on the original experimental data, and creating an input and output sample set; modeling the magneto-rheological damper by adopting a self-adaptive neural fuzzy reasoning system, and introducing a subtractive clustering technology to construct a system rule base; and optimizing the clustering parameters by using a genetic algorithm, establishing a magneto-rheological damper model, and analyzing the model precision, the hysteresis characteristic and the like. According to the method, a subtractive clustering technology is introduced to construct a rule base of a magneto-rheological damper model, a genetic algorithm is utilized to optimize clustering parameters, and the optimal fuzzy rule quantity and structure for depicting the system behavior are obtained, so that the modeling accuracy is effectively improved, the hysteresis characteristic and the low-speed region behavior of the system are better described, and the development and application of a semi-active control technology are promoted.
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Description

technical field

[0001] The invention belongs to the field of semi-active control, in particular to a hybrid modeling method for a magnetorheological damper (MRD) based on a genetic algorithm (GA) and an adaptive neuro-fuzzy inference system (ANFIS). Background technique

[0002] The magnetorheological damper is a semi-active control device based on magnetorheological fluid. It has the characteristics of low energy consumption, large output, fast response, simple structure and easy control. Its damping coefficient can be adjusted in real time. Magneto-rheological damper is an effective semi-active control intelligent device, which has a good engineering application prospect in the field of semi-active control. However, the strong nonlinearity, time-delay effect and uncertainty of magnetorheological dampers bring great difficulties to its modeling.

[0003] The problem of modeling MRDs has been extensively studied in recent years. The phenomenological model based on the modi...

Claims

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