Intelligent ship moving posture decomposition field forecasting method
A technology of ship motion and attitude, applied in attitude control, special data processing applications, instruments, etc., can solve problems such as difficulty in solving ship motion mechanism models, prediction is difficult, and the model is difficult to give satisfactory forecasts, etc.
Inactive Publication Date: 2014-07-16
HARBIN ENG UNIV
View PDF4 Cites 7 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] The nonlinearity of ship motion makes its prediction difficult, and the approximate ship motion mechanism model is difficult to solve. It is difficult to give a satisfactory forecast by applying such a model
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0058] The present invention will be described in detail below in conjunction with accompanying drawing;
[0059] A method for intelligent prediction of a ship's motion attitude decomposition domain, specifically comprising the following steps:
[0060] 1. Decompose the time series of ship roll angle;
[0061] Decomposing the ship roll angle time series is to use the empirical mode decomposition method to decompose the ship roll angle time series into independent eigenmode components and residual items with different amplitudes and frequencies. The steps to decompose the signal X(t) using the (Empirical Mode Decomposition, EMD) method are as follows:
[0062] (1) Take the local maximum point and local minimum point of the signal X(t).
[0063] (2) Use cubic splines to connect all local maximum points to form an upper envelope e max1 (t), and at the same time use 3 splines to connect all the local minimum points to form the lower envelope e min1 (t), the upper and lower env...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an intelligent ship moving posture decomposition field forecasting method which comprises the steps of decomposing a ship rolling angle time sequence, detecting the fluctuation degrees of components and remainders obtained through decomposition, classifying the components and the remainders, reconstructing the components and the remainders into a high-frequency component, a middle-frequency component and a low-frequency component, establishing information entropy weighing Elman neural network time sequence direct multistep forecasting models with different structures for the three components respectively, and conducting adaptive superposition on multistep forecasting results of the high-frequency component, the middle-frequency component and the low-frequency component to complete intelligent forecast. By the adoption of the method, high forecasting accuracy can be guaranteed, and modeling efficiency can be improved. The method has the advantages of being high in reliability and universality and the like, and is an effective method for improving forecasting accuracy.
Description
technical field [0001] The invention belongs to the prediction technology of ship motion attitude, in particular to a ship motion attitude decomposition domain intelligent prediction method for the prediction of ship roll motion attitude. Background technique [0002] The ship roll motion attitude prediction technology has significant military significance and social and economic value. It can provide safety guarantee for the operation of ships in strong wind and waves, such as navigation, dynamic positioning, anchoring, etc. And provide a basis for the improvement of the control accuracy of the anti-rolling device, and comprehensively enhance the safety performance of the ship. [0003] The nonlinearity of ship motion makes its prediction difficult, and the approximate ship motion mechanism model is difficult to solve. It is difficult to give a satisfactory forecast by using such a model. The early ship motion attitude prediction technology is divided into the frequency d...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G05D1/08G06F19/00
Inventor 杨震刘胜王岩
Owner HARBIN ENG UNIV