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Method for constructing dynamic model of nonlinear mechanical system

A dynamic model and mechanical system technology, applied in the field of dynamic model construction of nonlinear mechanical systems, can solve problems such as unsatisfactory reliability

Active Publication Date: 2018-02-23
HUNAN UNIV OF SCI & TECH
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Problems solved by technology

However, the reliability of the parameter estimation identified by one set of data or several sets of data is not satisfactory.

Method used

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  • Method for constructing dynamic model of nonlinear mechanical system
  • Method for constructing dynamic model of nonlinear mechanical system
  • Method for constructing dynamic model of nonlinear mechanical system

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Embodiment Construction

[0051] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0052] The invention provides a method for constructing a dynamic model of a nonlinear mechanical system, and the specific steps include:

[0053] Step 1: Analyze the vibration mechanism of the nonlinear mechanical system, determine the input and output signals of the system, construct a vibration differential equation characterizing the nonlinear mechanical system through mathematical and physical modeling, introduce an error correction function, and determine the uncertain parameters of the vibration differential equation type and quantity.

[0054] figure 2 It is a plane structure diagram of the finishing mill simplified into a single-degree-of-freedom nonlinear mechanical system and the arrangement position of the acceleration sensor in the embodiment of the present invention. The embodiment simplifies the finishing mill into a single-degree-of-f...

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Abstract

The invention discloses a method for constructing a dynamic model of a nonlinear mechanical system. The method includes the steps of constructing an oscillatory differential equation containing uncertain parameters; actually measuring vibration data to form a data sample; resampling data samples; using a particle swarm algorithm to identify the uncertain parameters and obtain uncertain parameter estimation samples; applying a machine learning algorithm to train the uncertain parameters, and continuously correcting the uncertain parameters; and examining precision and accuracy of the established model. According to the method, first the nonlinear oscillatory differential equation is established, and then the improved particle swarm algorithm is applied; the uncertain parameter estimation samples of the nonlinear mechanical system are obtained based on measured data identification, the uncertain parameter estimation samples are trained through an on-line learning algorithm, equation error correction function samples are trained through a neutral network learning algorithm, accuracy of the uncertain parameters is greatly improved, and the shortcoming that the established model is sufficient in precision is overcome.

Description

technical field [0001] The invention relates to the field of mechanical equipment, in particular to a method for constructing a dynamic model of a nonlinear mechanical system. Background technique [0002] my country is a big country in the manufacture of mechanical equipment. With the rapid development of industrial production and science and technology, a large number of nonlinear vibration problems have occurred during the service of mechanical equipment. It is urgent for various engineering and technical departments to study and solve such problems. Establishing the dynamic model of mechanical equipment is the basis for in-depth research and solving such problems. However, the structure of mechanical equipment is complex, and the nonlinear degree of the system is not clear. There are many uncertain parameters in the dynamic model, and the parameters are often obtained according to engineering experience. Therefore, it is difficult to accurately describe the complex dynam...

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Application Information

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IPC IPC(8): G06F17/50G06N3/00
CPCG06F30/17G06F30/20G06N3/006Y02T90/00
Inventor 凌启辉赵前程郭德福王宪罗迎孟帅张维
Owner HUNAN UNIV OF SCI & TECH
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