Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fault Prediction and Diagnosis Method of Servo Drive System Based on Multidimensional Information Monitoring

A technology of servo drive and system failure, applied in the direction of control system, motor control, electrical components, etc., can solve the problem of not being able to protect equipment in advance, and achieve the effect of ensuring safe and orderly production and reducing maintenance costs

Inactive Publication Date: 2018-08-14
南京方进工程设备有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These simple alarm functions are signals generated when a fault occurs, and cannot protect related equipment in advance

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fault Prediction and Diagnosis Method of Servo Drive System Based on Multidimensional Information Monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0024] combine figure 1 , the servo drive generally adopts such as figure 1 The architecture of the three closed-loop servo control system is shown. Among them, the module P is a position controller, the module ASR is a speed controller, the module ACR is a current controller, and the module PMSM is a permanent magnet synchronous motor.

[0025] A fault prediction and diagnosis method of a servo drive system based on multi-dimensional information monitoring provided by the present invention includes the following steps:

[0026] S1, establishing the displacement P in the running state of the motor, the associated model of the velocity V and the current I;

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multidimensional information monitoring-based fault prediction and diagnosis method for a servo drive system. The method comprises the following steps: (S1) building an association model of a displacement P, a speed V and a current I in an operating state of a motor; and (S2) predicting the operating state of the motor and detecting a fault through the association model. A servo control system passing through a permanent magnet synchronous motor is controlled by three closed-loops of a displacement controller, a speed controller and a current controller in series, so that the motor state can be accurately detected and controlled and the fault can be accurately predicted by multidimensional data association by combining the correlation of the displacement P, the speed V and the current I in the operating state of the motor; the fault can be predicted in advance; safe and ordered production of equipment is ensured; and the maintenance cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of servo motor control, and in particular relates to a fault prediction and diagnosis method of a servo drive system based on multi-dimensional information monitoring. Background technique [0002] Servo motors are widely used in mechanical automation equipment such as industrial robots and CNC machine tools. These industrial automation applications have the characteristics of high risk, high precision, and high speed, and require necessary safety guarantees. It is necessary to send out an alarm signal when a fault occurs, or even before the fault occurs, so as to eliminate hidden dangers in time and ensure the safety of the machine operator, the surrounding environment and the machine itself. [0003] Industrial automation equipment generally completes corresponding actions by multiple servo motors, and each servo motor must be equipped with a servo controller. Existing servo controllers receive instructio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H02P29/024
Inventor 张碧陶
Owner 南京方进工程设备有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products