A Landau Adaptive Moment of Inertia Identification Method Considering System Noise

A technology of moment of inertia and system noise, applied in control systems, vector control systems, motor control, etc., can solve the problem that inertia identification algorithms are easily affected by noise, etc., to take into account the inertia identification speed and accuracy, improve identification accuracy, and increase freedom. degree of effect

Active Publication Date: 2021-10-08
JIANGSU UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In order to solve the problem that the traditional discrete model Landau inertia identification algorithm is easily affected by noise, the present invention provides a Landau adaptive inertia identification method considering system noise

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
  • A Landau Adaptive Moment of Inertia Identification Method Considering System Noise
  • A Landau Adaptive Moment of Inertia Identification Method Considering System Noise
  • A Landau Adaptive Moment of Inertia Identification Method Considering System Noise

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The derivation process of the traditional discrete model Landau inertia identification algorithm is as follows:

[0035] The mechanical equation of motion of the motor is In the formula, Ω is the rotor mechanical angular velocity, rad / s, Indicates the differential of Ω; J is the moment of inertia, kg m 2 ; T L is the constant load torque, N m; B is the viscous friction coefficient, N m s / rad; the electromagnetic torque T e = K t × i q , K t is the torque constant, N m / A; usually the coefficient of viscous friction is small and can be ignored. At this time, the mechanical equation of motion becomes Usually the sampling time is short, and the load torque remains constant in adjacent sampling time intervals, that is, the load torque T L The differential of is 0, expressed as At this time, the reference model can be obtained as In the formula represents the second differential of Ω, Represents the electromagnetic torque T e differential.

[0036] right ...

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 proposes a Landau self-adaptive moment of inertia identification method considering system noise. Firstly, a permanent magnet motor speed and current double closed-loop speed regulation system is built to obtain the angular velocity and torque current required for inertia identification; then a permanent magnet motor is constructed. The magnetic synchronous motor moment of inertia identification algorithm uses the actual permanent magnet motor as a reference model, and the equation containing the parameters to be estimated as an adjustable model, and uses the error of the state quantities of the two models to input the adaptive mechanism to adjust the parameters to be estimated in the adjustable model in real time; When constructing the adjustable model, the mechanical motion equation of the motor is differentiated. The differential link amplifies the measurement noise. The speed and torque are filtered simultaneously by using a first-order low-pass filter, and the corresponding adaptive coefficient k is set. i and filter cutoff frequency f. In order to eliminate the influence of the load torque on the inertia identification, the mechanical motion equations were differentiated when constructing the reference model. The differential link amplified the measurement noise and reduced the inertia identification accuracy.

Description

technical field [0001] The invention belongs to the technical field of permanent magnet synchronous motor control, and in particular relates to an online moment of inertia identification method for permanent magnet synchronous motors considering system noise. Background technique [0002] Permanent magnet synchronous motors are widely used as servo motors due to their small size, good dynamic performance and high efficiency. The moment of inertia is a key parameter affecting the mechanical response of the motor, and the moment of inertia is crucial to the design of the speed loop controller. Therefore, it is necessary to obtain the moment of inertia value in advance when designing the motion control system. [0003] At present, the existing online identification methods of moment of inertia mainly include least squares method, model reference adaptive method, integral method, and Kalman filter method. Among these methods, the model reference adaptive method has been widely...

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): H02P21/14
CPCH02P21/143H02P2207/05
Inventor 全力李嘉诚朱孝勇左月飞
Owner JIANGSU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap