Linear dynamics system motion state prediction method and system

A technology of motion state and prediction method, applied in complex mathematical operations, geometric CAD, design optimization/simulation, etc., can solve the problems of inability to know the dynamic mathematical model, low identification result accuracy, and poor identification accuracy. , to achieve the effect of avoiding uncertainty, simple principle, and few observations

Active Publication Date: 2020-10-02
HAIFENG NAVIGATION TECH
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Problems solved by technology

However, in most cases, the designer of the ship cannot know the accurate dynamic mathematical model due to reasons such as confidentiality or inaccurate measurement.
To solve this problem, the existing method is to carry out system identification on the mathematical model of ship system dynamics, and continuously improve the accuracy of the dynamic model through a large amount of prior data, but this means that the amount of calculation will continue to increase with the increase of prior data. A large amount of

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  • Linear dynamics system motion state prediction method and system
  • Linear dynamics system motion state prediction method and system
  • Linear dynamics system motion state prediction method and system

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[0052] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0053] The invention provides a method for predicting the motion state of a linear dynamic system, comprising:

[0054] Carry out Kalman filter processing on the obtained state measurement value to obtain the filtered state quantity;

[0055]Use the filtered state quantity to predict the state transition matrix to obtain the calibrated updated state transition matrix;

[0056] The motion state of the linear dynamical system is predicted by using the filtered state quantity and the calibrated updated state transition matrix.

[0057] The present invention does not need to have a deep understanding of the system and prior experience, effectively solves the difficulty in the application of the system identification method w...

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Abstract

The invention provides a linear dynamic system motion state prediction method and system, and the method comprises the steps: carrying out the Kalman filtering of an obtained state measurement value,and obtaining a filtered state quantity; predicting a state transition matrix by using the filtered state quantity to obtain a calibrated and updated state transition matrix; and predicting the motionstate of the linear dynamics system by using the filtered state quantity and the calibrated and updated state transition matrix. According to the method, the required observed quantity is extremely small, the calculated quantity can be reduced, and compared with other methods, the method has the advantages of high adaptability and high accuracy.

Description

technical field [0001] The invention relates to the technical field of linear dynamic system control, in particular to a method and system for predicting the motion state of a linear dynamic system. Background technique [0002] Dynamical system state prediction, such as the prediction of the ship's attitude motion during navigation activities, can be obtained by multiplying the immediate state by several powers of the discretized system state transition matrix when the ship dynamics mathematical model is known The predicted value of the ship state after several steps. However, in most cases, the designer of the ship cannot know the accurate dynamic mathematical model for some reasons such as confidentiality or inaccurate measurement. To solve this problem, the existing method is to carry out system identification on the mathematical model of ship system dynamics, and continuously improve the accuracy of the dynamic model through a large amount of prior data, but this means...

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Application Information

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IPC IPC(8): G06F30/15G06F30/20G06F17/16
CPCG06F30/15G06F30/20G06F17/16
Inventor 王渊生孙元骜包文卓王超史文华张骁峰王宝成蔡易轲
Owner HAIFENG NAVIGATION TECH
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