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Modeling method based on LS-SVM electro-hydraulic position servo system

A technology of electro-hydraulic position servo and modeling method, which is applied in the field of machine learning, can solve the problems of insufficient operation and insufficient precision, and achieve the effect of high modeling accuracy and improved modeling accuracy

Inactive Publication Date: 2021-01-12
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to provide a modeling method based on the LS-SVM electro-hydraulic position servo system, which solves the problem that the control method of the servo motor in the prior art is not easy to operate and the precision is not high enough

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  • Modeling method based on LS-SVM electro-hydraulic position servo system

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Embodiment Construction

[0027] A modeling method based on the LS-SVM electro-hydraulic position servo system of the present invention will be described in detail below in conjunction with the drawings and specific embodiments.

[0028] A modeling method based on LS-SVM electro-hydraulic position servo system, which is specifically carried out according to the following steps;

[0029] Step 1: Deduce the transfer function of the electro-hydraulic position servo system from the transfer function of each hydraulic component in the electro-hydraulic position servo system;

[0030] Step 2: Bring the transfer function and deviation, sampling time and planning parameters into the LS-SVM network for several simulations;

[0031] Step 3: The electro-hydraulic position servo system is modeled using the regression algorithm of the least squares support vector machine, and the experimental model of the electro-hydraulic position servo system based on the LS-SVM network is obtained.

[0032] A modeling method ba...

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Abstract

The invention discloses a modeling method based on an LS-SVM electro-hydraulic position servo system. The modeling method is specifically carried out according to the following steps; step 1, derivinga transfer function of the electro-hydraulic position servo system according to the transfer function of each hydraulic element in the electro-hydraulic position servo system; step 2, substituting the transfer function, the deviation value, the sampling time and the planning parameters into an LS-SVM network for multiple times of simulation; and step 3, modeling the electro-hydraulic position servo system by using a regression algorithm of a least square support vector machine to obtain an experimental model of the electro-hydraulic position servo system based on the LS-SVM network. Accordingto the method, the regression algorithm of the least square support vector machine is used for modeling the electro-hydraulic position servo system, the modeling effect can be clearly seen, the modeling precision is very high, and the characteristic of high precision of the electro-hydraulic position servo system is met.

Description

technical field [0001] The invention belongs to the technical field of machine learning, and in particular relates to a modeling method based on an LS-SVM electro-hydraulic position servo system. Background technique [0002] Electro-hydraulic servo control system is a very hot emerging science and technology in the field of automatic control. It interacts with modern microelectronics technology, computer control technology and hydraulic technology to become an indispensable part of the contemporary control field. Because it has the characteristics of good linearity, high precision, simple structure, small size and fast frequency response, as the most representative electro-hydraulic position servo system in the electro-hydraulic servo control system, it has good control function and has Certain stability and robustness and performance robustness, so it is widely used in various fields. Therefore, the modeling of the electro-hydraulic position servo system provides a powerf...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 苏雪平何娇陈宁任劼段嘉伟高蒙朱丹尧杨帆李鹏浩赵兴凯
Owner XI'AN POLYTECHNIC UNIVERSITY
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