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An Analysis System for Attitude Angles of Four-rotor Aircrafts
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 149 - Number 3 |
| Year of Publication: 2016 |
| Authors: Xuan Fang, Bocheng Zhong, Xingtao Ding |
10.5120/ijca2016911375
|
Xuan Fang, Bocheng Zhong, Xingtao Ding . An Analysis System for Attitude Angles of Four-rotor Aircrafts. International Journal of Computer Applications. 149, 3 ( Sep 2016), 41-45. DOI=10.5120/ijca2016911375
Abstract
More accurate attitude angles can make the control of four-rotor aircrafts more precise. Various filters have been adopted to get more precise attitude angles. However, so far there is no suitable analysis system to evaluate the performance of filters. In this paper, an analysis system has been designed which can get the realistic attitude angles directly and compare the processing results of filters so as to analyze the performance of filters. The hardware of the analysis system contains the main control module, data acquisition module and wireless communication module. And the software of the system which is designed by LabVIEW mainly includes displaying and saving module, analysis module and the front panel. An extended Kalman filter and an innovation-based extended Kalman filter are compared by the system and results show that the attitude angles got by the innovation-based extended Kalman filter are more accurate than the extended Kalman filter.
References
- Hakim, B., S, Simoes Cunha., A, Drouin., F, Mora Camino.: Adaptive Sliding Mode Control for Quadrotor Attitude Stabilization and Altitude Tracking. In: 12th IEEE International Symposium on Computational Intelligence and Informatics, pp. 449-455. Hungary ( 2011)
- Oosedo, A., Abiko, S., Konno, A.: Development of a Quad Rotor Tail-Sitter VTOL UAV without control Surfaces and Experimental Verification. In: 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 317-322. Karlsruhe, Germany (2013)
- Simon, J.J., Jeffrey, K.U.: New Extension of the Kalman Filter to Nonlinear Systems. In :The International Society for Optical Engineering, vol.3068 pp. 182-193 (1997)
- Julier, S., Uhlmann, J., Hugh, F.D.: A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators. In: IEEE Transactions on Automatic Control, vol. 45(3), pp. 477-482 (2000)
- Cheng, Y., Luo C.G.: Modeling and Nonlinear Filter for the Quadrotor. In: International Conference on Control Engineering and Automation(ICCEA 2014), pp. 818-822 (2014)
- Wang, L., Zhang, Z., Sun, P.: Quaternion-based Kalman Filter for AHRS Using an Adaptive-step Gradient Descent Algorithm. In: International Journal of Advanced Robotic Systems,vol.12, doc.131 (2015)
- Euston, M., Coote, P., Mahony, R.: A Complementary Filter for Attitude Estimation of a Fixed-Wing UAV. In: IEEE/RSJ International Conference on Intelligent Robots and Systems , pp.340-345 (2008)
- National Instruments, ‘‘LabVIEW User Manual’’, National Instruments, 4/2003 Edition Part Number 320999E-01
- Stefan, K., Milan, T., Zoltan, B.: Modelling, Simulation and Monitoring the use of LabVIEW. In: Application of Information and Communication Technologies (AICT), 2012 6th International Conference on, pp.1-5. Tbilisi (2012)
- National Instruments Corporation LabVIEW SIT User Guide.
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