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Sensors and Materials, Volume 31, Number 3(3) (2019)
Copyright(C) MYU K.K.
S&M1827 Research Paper of Special Issue
Published: March 29, 2019
Online Estimation of Soil Grain Diameter during Dredging of Hopper Dredger by Continuous-discrete Feedback Particle Filter [PDF]
Zhen Su, Zhao-Xu Zhou, Meng-Hong Yu, Wei Yuan, and Jing-Qi Fu
(Received November 23, 2018; Accepted February 18, 2019)
Keywords: hopper dredge, soil grain diameter, measuring system, mathematical model, estimation, feedback particle filter, online measurement, sensor
The trailing suction hopper dredger (TSHD) is a ship that excavates sediments from the sea bottom while sailing. Soil properties have a strong effect on the dredging process. The parameter with the greatest importance is the real-time soil grain diameter dm. This, however, cannot be directly measured by available sensors. In this paper, an alternative method is proposed to solve this problem. A new estimation method is developed on the basis of an existing sedimentation model and measuring system data. The loading process with several grain diameters is simulated to perform a sensitivity analysis of soil type. Simulation results show that the dredging efficiency is strongly affected by fine soil. This soil-related estimation problem is solved with a continuous–discrete feedback particle filter (CD-FPF), which is a recently developed filter for a CD time system. For comparison, a bootstrap particle filter (BPF) is also used to simulate the steplike changes in dm in both the no-overflow and constant-volume loading phases. The results show that the CD-FPF outperforms the BPF in terms of accuracy and applicability. Thus, it is recommended to be applied in the estimator of artificial intelligence (AI) dredging systems.
Corresponding author: Jing-Qi Fu
This work is licensed under a Creative Commons Attribution 4.0 International License.
Cite this article
Zhen Su, Zhao-Xu Zhou, Meng-Hong Yu, Wei Yuan, and Jing-Qi Fu, Online Estimation of Soil Grain Diameter during Dredging of Hopper Dredger by Continuous-discrete Feedback Particle Filter, Sens. Mater., Vol. 31, No. 3, 2019, p. 953-968.
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