METHOD FOR MEASURING MOTION PARAMETERS OF MOVING OBJECTS
DOI:
https://doi.org/10.17770/etr2019vol3.4131Keywords:
Kalman filter, dynamic error, gyro-free measuring system, roll, pitch, heel, trimAbstract
The paper considers a new method for measuring the angular deviations of moving objects. A specific measuring system is proposed to measure ship roll, pitch, heel and trim. The system consists of two measurement channels operating in parallel. The first channel is built on the position properties of a physical pendulum so as to build the base vertical. The second channel ensures the dynamic accuracy of the system. The principal of operation of the second channel involves correction of the signals from the first channel by using information obtained from linear MEMS accelerometers. To increase system measurement accuracy, a signal processing module is used through the Kalman filter algorithm.Downloads
References
H. Pan, S. Tian and P. Ye, “An Adaptive Synthesis Calibration Method for Time-Interleaved Sampling Systems” in Metrol. Meas. Syst., Vol 17, issue 3, 2010, pp. 405-414.
L. Song, Z. Chen, Y. Mao, Z. Dong and Z. Xiang, “Error Mitigation Algorithm Based on Bidirectional Fitting Method for Collision Avoidance of Unmanned Surface Vehicle”, in Polish Maritime Research, Vol. 25, issue 4, 2018, pp. 13-20.
D. Borkowski and S. Barczentewicz, “Power Grid Impedance Tracking with Uncertainty Estimation Using Two Stage Weighted Least Squares”, in Metrol. Meas. Syst., Vol. 21, issue 1, 2014, pp. 99-110.
D. Dichev, F. Kogia, H. Nikolova and D. Diakov, “A Mathematical Model of the Error of Measuring Instruments for Investigating the Dynamic Characteristics”, in Journal of Engineering Science and Technology Review, Volume 11, Issue 6, 2018, pp. 14-19.
R. Zhu, D. Sun, Z. Zhou and D. Wang, „A linear fusion algorithm for attitude determination using low cost MEMS-based sensors”, in Measurement, Vol. 40, issue 3, 2007, pp. 322–328.
J-O. Nilsson and I. Skog, “Inertial Sensor Arrays - A Literature Review”, presented at 24th European Navigation Conference, IEEE, Finland, 2016, pp. 1-10.
I. Malakov, V. Zaharinov and V. Tzenov, “Size Ranges Optimization”, in Procedia Engineering, Vol. 100, 2015, pp. 791-800.
I. Malakov, T. Georgiev, V. Zaharinov, A. Tzokev and V. Tzenov, “Demand modeling for the optimization of size ranges”, presented at 26th DAAAM International Symposium, Vienna, Austria, 2015, pp. 0435-0444.
D. Dichev, F. Kogia, H. Koev and D. Diakov, “Method of Analysis and correction of the Error from Nonlinearity of the Measurement Instruments”, Journal of Engineering Science and Technology Review, Vol. 9, Issue 6, 2016, pp. 116-121.
A. Volosnikov and E. Yurasova, “Dynamic Measurement Error Evaluation and Minimization based on FIR-filter”, presented at 2018 Global Smart Industry Conference (GloSIC), Chelyabinsk, Russia, 2018, pp. 1-7.
D. Dichev, H. Koev, T. Bakalova and P. Louda, “A Model of the Dynamic Error as a Measurement Result of Instruments Defining the Parameters of Moving Objects”, in Measurement Science Review, Vol. 14, issue 4, 2014, pp. 183-189.
E. Yurasova and A. Volosnikov, “Dynamic measurement errors correction adaptive to noises of a sensor”, Series on Advances in Mathematics for Applied Sciences, vol. 89, 2018, pp. 427-438.
H. Pan, S. Tian and P. Ye, “An Adaptive Synthesis Calibration Method for Time-Interleaved Sampling Systems”, in Metrol. Meas. Syst., Vol. 17, issue 3, 2010, pp. 405-414.
M. Jiang, J. Luo, D. Jiang, J. Xiong, H. Song and J. Shen, “A cuckoo search-support vector machine model for predicting dynamic measurement errors of sensors”, in IEEE Access, Vol. 4, 2016, pp. 5030-5037
K. Ormandzhiev, S. Yordanov and S. Stoyanov, “Synthesis of Fuzzy Controller for Cross-Flow Water Turbine”, in Information Technologies and Control, Vol. 15, issue 1, 2017, pp. 9-16.
Y. Zhang, C. Peng, D. Mou, M. Li and W. Quan, “An Adaptive Filtering Approach Based on the Dynamic Variance Model for Reducing MEMS Gyroscope Random Error”, in Sensors, Vol. 18, issue 11, 2018, pp. 1-14.
M. Jiang, L. Jiang, D. Jiang, J. Xiong, J. Shen, S. H. Ahmed, J. Luo and H. Song, “Dynamic Measurement Errors Prediction for Sensors Based on Firefly Algorithm Optimize Support Vector Machine”, in Sustainable Cities and Society, Vol. 35, 2017, pp. 250-256.
