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Networked motion control system state estimation method based on adaptive state observer

A motion control system and state observer technology, applied in the field of network security, can solve problems such as the deterioration of state estimation performance, and achieve the effect of accurate estimation

Inactive Publication Date: 2019-12-17
ZHEJIANG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the attacker may switch the attack target at any time, that is, different sensors may be attacked at different times. Existing methods generally still use all sensor data under switching attacks, and the use of polluted sensor data may easily lead to rapid deterioration of state estimation performance.

Method used

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  • Networked motion control system state estimation method based on adaptive state observer
  • Networked motion control system state estimation method based on adaptive state observer
  • Networked motion control system state estimation method based on adaptive state observer

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Embodiment Construction

[0038] In order to make the technical characteristics, purpose and advantages of this solution clearer and clearer, the technical solution of the present invention will be further described below in conjunction with the accompanying drawings and actual experiments.

[0039] refer to Figure 1-Figure 3 , a state estimation method for networked motion control systems based on adaptive state observers. First, model the motion control system and determine its transfer function; convert the system transfer function into a state space model; The function switches back and forth the gain of the adaptive state observer constructed; finally, the state is accurately estimated by the state observer.

[0040] The present invention is a networked motion control system state estimation method based on an adaptive state observer, comprising the following steps:

[0041] 1) Determine the transfer function of the networked motion control system;

[0042] 2) Establish the state equation and o...

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Abstract

The invention discloses a networked motion control system state estimation method based on an adaptive state observer. The method comprises the following steps: modeling a motion control system, and determining a transfer function of the motion control system; converting the transfer function of the system into a state space model; switching the gain of a constructed state observer back and forththrough a switching function after the system is subjected to a switching attack; and accurately estimating the state of the system. The method of the invention considers the phenomenon that the networked motion control system is subjected to a switching attack and is not limited to the example, and the state estimation effect can meet the precision and real-time requirements of practical application.

Description

technical field [0001] The invention belongs to the technical field of network security, and specifically provides a method for estimating the state of a networked motion control system based on an adaptive state observer, which can accurately estimate the state. Background technique [0002] With the continuous development of science and technology, the strategy of deep integration of industrialization and industrialization continues to advance, and industrial applications are becoming more and more complex and large. Networked industrial control system, as an important infrastructure of national lifeline industries such as energy, manufacturing, and military industry, is facing more and more risks. Various attacks will not only lead to data leakage and loss, but even cause environmental disasters It directly affects economic development and social stability, and causes huge damage to national security. [0003] Considering the importance of networked industrial control sy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 朱俊威杨豫鹏张文安俞立董辉徐建明
Owner ZHEJIANG UNIV OF TECH
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