ORIGINAL ARTICLE
Concept of AHRS Algorithm Designed for Platform Independent Imu Attitude Alignment
1
Institute of Geoinformation and Cartography, The Faculty of Geodesy, Geospatial and Civil Engineering, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
Submission date: 2016-04-08
Acceptance date: 2017-09-26
Online publication date: 2018-01-23
Publication date: 2017-12-20
Reports on Geodesy and Geoinformatics 2017;104:33-47
KEYWORDS
ABSTRACT
Nowadays, along with the advancement of technology one can notice the rapid development of various types of navigation systems. So far the most popular satellite navigation, is now supported by positioning results calculated with use of other measurement system. The method and manner of integration will depend directly on the destination of system being developed. To increase the frequency of readings and improve the operation of outdoor navigation systems, one will support satellite navigation systems (GPS, GLONASS ect.) with inertial navigation. Such method of navigation consists of several steps. The first stage is the determination of initial orientation of inertial measurement unit, called INS alignment. During this process, on the basis of acceleration and the angular velocity readings, values of Euler angles (pitch, roll, yaw) are calculated allowing for unambiguous orientation of the sensor coordinate system relative to external coordinate system. The following study presents the concept of AHRS (Attitude and heading reference system) algorithm, allowing to define the Euler angles.The study were conducted with the use of readings from low-cost MEMS cell phone sensors. Subsequently the results of the study were analyzed to determine the accuracy of featured algorithm. On the basis of performed experiments the legitimacy of developed algorithm was stated.
REFERENCES (22)
1.
Cui, X., Mei, C., Qin, Y., Yan, G., & Fu, Q. (2017). In-motion alignment for low-cost SINS/GPS under random misalignment angles. Journal of Navigation, 1-17. doi: 10.1017/S037346331700039X.
2.
Emami, M., & Taban, M. R. (2017). A customized H-infinity algorithm for underwater navigation system: With experimental evaluation. Ocean Engineering, 130(Supplement C), 611 - 619. Retrieved from http://www.sciencedirect.com/s... doi: https://doi.org/10.1016/j.ocea....
4.
Farrell Jay A., J. W. (2017). GNSS/INS Integration. springer handbook of global navigation satellite systems (S. I. Publishing, Ed.). Springer International Publishing.
5.
Foxlin, E. (2005). Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput. Graph. Appl(25(6)), 38-46.
6.
Freescale. (2012). Implementing a tilt-compensated eCompass using accelerometer and magnetometer sensors. Freescale Semiconductor Application Note.
7.
Groves, D. (2008). Principles of GNSS, inertial, and multisensory integrated navigation systems. Artech House.
9.
Li, Z., Wang, J., & Gao, J. (2016). An enhanced GPS/INS integrated navigation system with GPS observation expansion. Journal of Navigation, 69(5), 1041-1060. doi: 10.1017/S0373463315001083.
10.
Nakath David, J. C., & Rachuy, C. (2017). Rigid body attitude control based on a manifold representation of direction cosine matrices. Journal of Physics: Conference Series., 783(1).
11.
Noureldin, A., Karamat, T., & J.Georgy. (2013). Fundamentals of inertial navigation, satellitebased positioning and their integration. Springer.
12.
Ozyagcilar, T. (2012). Calibrating an ecompass in the presence of hard and soft-iron interference. Freescale Semiconductor.
13.
Sabet, M., Daniali, H. M., Fathi, A., & Alizadeh, E. (2017). Experimental analysis of a low-cost dead reckoning navigation system for a land vehicle using a robust AHRS. Robotics and Autonomous Systems, 95(Supplement C), 37 - 51. Retrieved from http://www.sciencedirect.com/s... doi: https://doi.org/10.1016/j.robo....
14.
Sasani, J. A.-S. A. R., S.and Asgari. (2016, Jan 01). Improving MEMS-IMU/GPS integrated systems for land vehicle navigation applications. GPS Solutions, 20(1), 89-100. Retrieved from https://doi.org/10.1007/s10291... doi: 10.1007/s10291-015-0471-3.
15.
Simončič, S., Klobˇcar, D., & Podržaj, P. (2015). Kalman filter based initial guess estimation for digital image correlation. Optics and Lasers in Engineering, 73(Supplement C), 80 - 88. Retrieved from http://www.sciencedirect.com/s... doi: https://doi.org/10.1016/j.optl....
16.
Tang Daquan, J. C. G., Yongkang Jiao. (2016). On automatic landing system for carrier plane based on integration of INS, GPS and vision. In Navigation and control conference (cgncc).
17.
Tomaszewski, D., Rapin´ki, J., & S´mieja, M. (2015). Projekt oraz pierwsze testy zitegrowanej platformy ewaluacyjnej GPS/INS. Logistyka(3), 46-49.
18.
Tomaszewski, D., Rapi´ nski, J., & ´ Smieja, M. (2015). Analysis of the noise parameters and attitude alignment accuracy of INS conducted with the use of MEMS - based integrated navigation system. Acta Geodynamica et Geomaterialia, 2(12), 197-208.
19.
Wang, L., Zhang, Z., & Sun, P. (2015). Sun quaternion-based kalman filter for AHRS using an adaptive-step gradient descent algorithm. International Journal of Advanced Robotic Systems(12).
20.
Woodman, O. (2007). An introduction to inertial navigation (Tech. Rep. No. 696). Cambridge.
21.
Yadav, N., & Bleakley, C. (2014). Accurate orientation estimation using AHRS under conditions of magnetic distortion. Sensors(14), 20008-20024.
22.
Yang Ling, e. a. (2016). Seamless pedestrian navigation augmented by walk status detection and context features. In Ubiquitous positioning, indoor navigation and location based services (upinlbs).
| eISSN: | 2391-8152 |
| ISSN: | 2391-8365 |
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