Match!

System Identification Based Parameter Identification of Responding Type Ship Motion Model

Published on Jul 1, 2019
· DOI :10.1109/ICTIS.2019.8883797
Yanfei Tian1
Estimated H-index: 1
(WUT: Wuhan University of Technology),
Li-wen Huang2
Estimated H-index: 2
(WUT: Wuhan University of Technology)
+ 3 AuthorsKe Zhang (WUT: Wuhan University of Technology)
Abstract
The paper concerns parameter identification of a responding ship motion model for a full-scale ship under the framework of system identification (SI) principles. Several groups of full-scale maneuvering experiments have been implemented to collect research data. A linear responding ship motion model is selected for analysis, and specifically identification of two parameters of the model becomes the research topic. Based on the error criterion in SI theory, a Particle Swarm optimization (PSO) based search process is used for parameter identification under the principle of minimizing the sum of squares due to error (SSE). The accuracy of the estimated values is checked by comparing the simulated ship motion (model output using identified parameters) and the full-scale ship maneuvering trial record (ship output by measurement). The feasibility and availability of the developed strategy are verified by using a case study. It is concluded that the proposed strategy can provide technical support for full-scale ship motion modeling.
  • References (15)
  • Citations (0)
📖 Papers frequently viewed together
17 Citations
2019
7 Authors (Changyuan Chen, ..., Marc Vantorre)
23 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
References15
Newest
#1Serge Sutulo (IST: Instituto Superior Técnico)H-Index: 9
#2C Guedessoares (IST: Instituto Superior Técnico)H-Index: 56
An identification algorithm for ship manoeuvring mathematical models has been developed. The identification procedure is based on the classic genetic algorithm used for minimizing a distance between the reference and recovered time histories. The distance was measured using 5 different metrics including the Hausdorff metric. Validation of the algorithm was carried out using simulated responses artificially polluted with the white noise of various levels. It was demonstrated that by only using th...
31 CitationsSource
#1Motoki Araki (Osaka University)H-Index: 2
#2Hamid Sadat-Hosseini (UI: University of Iowa)H-Index: 8
Last. Frederick Stern (UI: University of Iowa)H-Index: 42
view all 6 authors...
Abstract Predicting ship maneuverings in calm water is an important topic; however, it is very expensive to run numerous maneuvering simulations using CFD. Despite its short computation time, system-based simulations need many captive model tests to estimate the hydrodynamic and rudder maneuvering coefficients used in the system-based mathematical model and the results have difficulty to achieve quantitative agreement with experimental data. Herein system identification techniques (extended Kalm...
40 CitationsSource
Jun 23, 2012 in CSO (Computational Sciences and Optimization)
#1Yuntao Dai (HEU: Harbin Engineering University)H-Index: 3
#2Ying Li (HEU: Harbin Engineering University)H-Index: 3
Last. Jingyi Song (HEU: Harbin Engineering University)H-Index: 2
view all 3 authors...
An evolution particle swarm optimization(EPSO) algorithm is proposed to solve the problem that particle swarm optimization(PSO) is easily trapped in the local minima. The EPSO is applied in the parameter identification of ship lateral motions. In order to increase the diversity of particle, a new evolutionary strategy in the standard PSO algorithm is introduced. Firstly, in the iterations of algorithm optimization process, EPSO algorithm is constructed to improve the capacity of global search al...
3 CitationsSource
The fruit fly optimization algorithm is applied to identify the structural parameters in the ship manoeuvring response models.The deformed zig-zag tests are predicted by using the identified models.The validity of the proposed method is verified by comparing the predicted results with the zig-zag test data.Results show that the proposed method has the advantages of simple algorithm to construct,less parameters to adjust and local minima more avoidable.
2 Citations
By adding some random noise into the simulated 20°/20° zigzag test data,the polluted test data are obtained.Wavelet denoising is then applied to denoise the polluted data.By analyzing the denoised data and the polluted data,Least Square-Support Vector Regression(LS-SVR) is applied to identify the manoeuvring indices of the second-order linear response model.The prediction results of 20°/20° zigzag test by using the denoised test data and the polluted test data are compared with the simulated tes...
2 Citations
#1Yongbing Chen (HUST: Huazhong University of Science and Technology)H-Index: 1
#2Yexin Song (Naval University of Engineering)H-Index: 1
Last. Mian-Yun Chen (HUST: Huazhong University of Science and Technology)H-Index: 1
view all 3 authors...
Purpose – The purpose of this paper is to identify the Nomoto ship model parameters accurately, in order to produce a very close match between the predictions based on the model and the full‐scale trials.Design/methodology/approach – Various ship maneuvering mathematical models have been used when describing the ship dynamics behavior. The Nomoto ship model is a class of simplified hydrodynamic derivative type models which are the most widely used, accepted and perhaps well developed. To determi...
8 CitationsSource
#1Dai Yun-tao (HEU: Harbin Engineering University)H-Index: 2
A continuous domains Ant Colony Algorithm is applied in solving the problem of hydrodynamic parameter identification of ship Longitudinal Motions. The algorithm initializes the ant positions by chaos series. In each iteration, a seed ant colony is chosen. The sampling is under the pheromone density function of seed ant colony, and the child ant colonies are got. And the whole process makes each ant colony moves to the search space of higher fitness value, and converges to the optimization. The r...
2 Citations
A new frequency domain system identification method for estimation of hydrodynamic derivatives embedded in linear steering equations for ship maneuvering in calm seas is presented. The frequency domain multiple input-single output models developed for identification involves determination of constant, 'zero-frequency' hydrodynamic derivatives. The method is robust, non-iterative and computationally light and it does not require any starting estimates. In this method, the time domain operations a...
24 Citations
The responding ship motion nonlinear mathematical model is analysed. Comparing with state space model, the computation of responding ship model is simple, but the differential equation obtained can preserve the nonlinear effect and the model can also satisfy the requirements to model precision when the simulation of ship closed-loop control system is studied. Simulating experiment is carried out in the light of a training ship "YuLong" of Dalian Maritime University, programming by Visual Basic 6...
14 Citations
#1L. Moreira (Technical University of Lisbon)H-Index: 6
#2C Guedessoares (Technical University of Lisbon)H-Index: 56
Abstract This paper presents a Recursive Neural Network (RNN) manoeuvring simulation model for surface ships. Inputs to the simulation are the orders of rudder angle and ship’s speed and also the recursive outputs velocities of sway and yaw. This model is used to test the capabilities of artificial neural networks in manoeuvring simulation of ships. Two manoeuvres are simulated: tactical circles and zigzags. The results between both simulations are compared in order to analyse the accuracy of th...
46 CitationsSource
Cited By0
Newest