Determination of dynamic flexure model parameters for ship angular deformation measurement
Determination of dynamic flexure model parameters for ship angular deformation measurement
In ship angular deformation measurement, Kalman filter used to estimate the deformation angle requires accurate dynamic flexure parameters. Traditionally, these dynamic flexure parameters are empirically set according to previous experience or determined from previously collected experimental data. Inevitably, the Kalman filter will perform poorly when the current application environment is differ with those used in the filter design. To overcome this problem, we propose an alternative on-line approach to estimate the dynamic flexure parameters based on the attitude difference measured by two laser gyro units. Specifically, the Tufts-Kumaresan (T-K) method is introduced to solve the unknown parameters of the dynamic flexure model from the computed attitude difference. Simulation results show that the proposed method can estimate the dynamic flexure parameters in real-time with a high degree of accuracy even in serious noise polluted conditions. A further advantage of the proposed approach is that it does not require a priori knowledge of the dynamic flexure characteristics.
Wu, Wei
f754f24b-bcdb-4f7b-836e-29cbc32aaba6
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Qin, Shiqiao
24ce98b9-1368-43b8-8c03-047931a898fe
September 2012
Wu, Wei
f754f24b-bcdb-4f7b-836e-29cbc32aaba6
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Qin, Shiqiao
24ce98b9-1368-43b8-8c03-047931a898fe
Wu, Wei, Chen, Sheng and Qin, Shiqiao
(2012)
Determination of dynamic flexure model parameters for ship angular deformation measurement.
UKACC International Conference on Control 2012, Cardiff, United Kingdom.
03 - 05 Sep 2012.
6 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In ship angular deformation measurement, Kalman filter used to estimate the deformation angle requires accurate dynamic flexure parameters. Traditionally, these dynamic flexure parameters are empirically set according to previous experience or determined from previously collected experimental data. Inevitably, the Kalman filter will perform poorly when the current application environment is differ with those used in the filter design. To overcome this problem, we propose an alternative on-line approach to estimate the dynamic flexure parameters based on the attitude difference measured by two laser gyro units. Specifically, the Tufts-Kumaresan (T-K) method is introduced to solve the unknown parameters of the dynamic flexure model from the computed attitude difference. Simulation results show that the proposed method can estimate the dynamic flexure parameters in real-time with a high degree of accuracy even in serious noise polluted conditions. A further advantage of the proposed approach is that it does not require a priori knowledge of the dynamic flexure characteristics.
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Published date: September 2012
Venue - Dates:
UKACC International Conference on Control 2012, Cardiff, United Kingdom, 2012-09-03 - 2012-09-05
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 342295
URI: http://eprints.soton.ac.uk/id/eprint/342295
PURE UUID: c86c3eeb-4126-4390-959b-c346c53cfa67
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Date deposited: 20 Aug 2012 15:09
Last modified: 14 Mar 2024 11:49
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Contributors
Author:
Wei Wu
Author:
Sheng Chen
Author:
Shiqiao Qin
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