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

Method for calculating fusion attitude angle based on complementary Kalman filtering algorithm

A Kalman filter and attitude technology, applied in the direction of measuring angles, measuring devices, instruments, etc., can solve problems such as unknown parameter calculation methods

Active Publication Date: 2016-06-08
HUIZHOU FRONT OPTOELECTRONIC TECH CO LTD
View PDF7 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of unknown parameter calculation methods involved in the existing attitude angle fusion algorithm and further improve the accuracy of the attitude angle fusion algorithm, the present invention proposes a method for calculating the fusion attitude angle based on the complementary Kalman filter algorithm, which greatly improves the attitude angle. measurement accuracy

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
  • Method for calculating fusion attitude angle based on complementary Kalman filtering algorithm
  • Method for calculating fusion attitude angle based on complementary Kalman filtering algorithm
  • Method for calculating fusion attitude angle based on complementary Kalman filtering algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The present invention will be further described below with reference to the accompanying drawings and in combination with preferred embodiments.

[0070] Kalman filtering uses the minimum mean square error as the best criterion for estimation to seek a set of recursive estimation algorithms. The measured value is used to update the estimate of the state variable, and the estimated value at the moment is obtained. The algorithm makes an estimate that meets the minimum mean square error for the signal to be processed according to the established system state equation and measurement equation. Kalman filtering is a powerful method for state vector estimation of state-space models, and it is of great value in theory. Complementary filtering can effectively use each data according to different weights designed. The present invention cleverly combines the Kalman filter algorithm and the complementary filter algorithm, and proposes a method for calculating the fusion attitude...

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 method for calculating a fusion attitude angle based on a complementary Kalman filtering algorithm. The method comprises the following steps: building an attitude angle measurement system, calculating and obtaining a first attitude angle according to gyroscope measurement data, calculating and obtaining a second attitude angle according to accelerometer measurement data; fusing the first attitude angle and the second attitude angle according to the Kalman filtering algorithm to obtain a third attitude angle; fusing the first attitude angle, the second attitude angle and the third attitude angle according to a complementary filtering principle to calculate and obtain the fusion attitude angle. According to the method for calculating the fusion attitude angle based on the complementary Kalman filtering algorithm, disclosed by the invention, the measurement precision of the attitude angle is greatly improved.

Description

technical field [0001] The invention relates to the field of attitude angle measurement, in particular to a method for calculating a fusion attitude angle based on a complementary Kalman filter algorithm. Background technique [0002] In the microwave communication anti-shake system, the attitude angle of the microwave antenna is a very important feedback signal. The anti-shake system uses this feedback signal to correct the attitude angle of the microwave antenna, so that the vibration amplitude of the microwave antenna is always within the required accuracy range to ensure The stability of the communication signal. Therefore, the measurement accuracy and stability of microwave antenna attitude angle are very important. Commonly used attitude angle measurement components include gyroscopes, accelerometers, etc. Gyroscopes measure angular velocity signals, but their measured values ​​will drift with time, making the calculated angle values ​​drift with time; accelerometers ...

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 Applications(China)
IPC IPC(8): G01C1/00
CPCG01C1/00
Inventor 马建设李国朋苏萍刘彤董瑛
Owner HUIZHOU FRONT OPTOELECTRONIC TECH CO LTD
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com