Next Article in Journal
Theoretical and Experimental: The Synthetic and Anion-Binding Properties of Tripodal Salicylaldehyde Derivatives
Next Article in Special Issue
Optimal Magnetic Sensor Vests for Cardiac Source Imaging
Previous Article in Journal
A Continuous Liquid-Level Sensor for Fuel Tanks Based on Surface Plasmon Resonance
Previous Article in Special Issue
A Magnetoresistive Tactile Sensor for Harsh Environment Applications
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(5), 730; doi:10.3390/s16050730

A Novel Attitude Estimation Algorithm Based on the Non-Orthogonal Magnetic Sensors

Department of Automation, Nanjing University of Science and Technology, No. 200, Xiaolingwei Street, Xuanwu District, Nanjing 210094, China
Author to whom correspondence should be addressed.
Academic Editor: Susana Cardoso de Freitas
Received: 8 March 2016 / Revised: 13 May 2016 / Accepted: 15 May 2016 / Published: 19 May 2016
(This article belongs to the Special Issue Magnetoresistive Sensors under Extreme Conditions)
View Full-Text   |   Download PDF [2207 KB, uploaded 19 May 2016]   |  


Because the existing extremum ratio method for projectile attitude measurement is vulnerable to random disturbance, a novel integral ratio method is proposed to calculate the projectile attitude. First, the non-orthogonal measurement theory of the magnetic sensors is analyzed. It is found that the projectile rotating velocity is constant in one spinning circle and the attitude error is actually the pitch error. Next, by investigating the model of the extremum ratio method, an integral ratio mathematical model is established to improve the anti-disturbance performance. Finally, by combining the preprocessed magnetic sensor data based on the least-square method and the rotating extremum features in one cycle, the analytical expression of the proposed integral ratio algorithm is derived with respect to the pitch angle. The simulation results show that the proposed integral ratio method gives more accurate attitude calculations than does the extremum ratio method, and that the attitude error variance can decrease by more than 90%. Compared to the extremum ratio method (which collects only a single data point in one rotation cycle), the proposed integral ratio method can utilize all of the data collected in the high spin environment, which is a clearly superior calculation approach, and can be applied to the actual projectile environment disturbance. View Full-Text
Keywords: extremum ratio method; integral ratio method; least square; magnetic sensor; projectile attitude extremum ratio method; integral ratio method; least square; magnetic sensor; projectile attitude

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhu, J.; Wu, P.; Bo, Y. A Novel Attitude Estimation Algorithm Based on the Non-Orthogonal Magnetic Sensors. Sensors 2016, 16, 730.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top