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Prediction method of aircraft maneuvering trajectory based on mogrifier-bigru

A trajectory prediction and aircraft technology, applied in neural learning methods, computer-aided design, biological neural network models, etc., can solve problems such as historical information erroneous discarding, improve accuracy and advance, improve prediction accuracy, and strong adaptation. sexual effect

Active Publication Date: 2022-04-19
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

At the same time, the present invention introduces the Mogrifier coupling module in the forward and backward data propagation process of the network to solve the problem that the historical information is wrongly discarded in the weight parameter update process

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  • Prediction method of aircraft maneuvering trajectory based on mogrifier-bigru
  • Prediction method of aircraft maneuvering trajectory based on mogrifier-bigru

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.

[0042] The invention proposes an aircraft maneuver trajectory prediction method based on an improved bidirectional gated cyclic unit (Mogrifier-BiGRU), which can realize accurate prediction of aircraft maneuver trajectory data under the condition of fixed interval time series.

[0043] The present invention adopts following technical scheme, and its realization process mainly comprises the following steps:

[0044] 1) Establish the maneuvering trajectory data set of the aircraft under the condition of fixed interval time series.

[0045] For the learning and training process of aircraft maneuver trajectory prediction based on deep loop network, a large amount of flight data needs to be generated as the original training data set. This method generates original data containi...

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Abstract

The invention provides a Mogrifier-BiGRU-based aircraft maneuver trajectory prediction method, which combines BiGRU and aircraft maneuver trajectory prediction problems, fully considers the lack of coupling between the output data and input data of the hidden layer of the cyclic network, and introduces the Mogrifier coupling function, which solves the problem that historical information is discarded incorrectly during the weight parameter update process. The present invention can well realize the prediction of aircraft maneuvering trajectory data, greatly improving the accuracy and advanceness of the six-degree-of-freedom maneuvering trajectory data prediction. It has strong adaptability and provides reliable support for judging the position and attitude information of the target aircraft in advance.

Description

technical field [0001] The invention relates to the fields of aircraft flight control and artificial intelligence, in particular to an aircraft multi-dimensional maneuver trajectory prediction method. Background technique [0002] With the rapid development of aviation technology, the prediction technology of maneuvering and trajectory data of the target aircraft has become one of the hot spots in the field of scientific research all over the world. Traditional aircraft maneuver trajectory data prediction often adopts linear regression method, differential autoregressive moving average model, hidden Markov process, time series decomposition method, etc., but these methods cannot fully analyze the correlation between various data dimensions, so in the face of When using high-dimensional maneuver trajectory data, its prediction accuracy has certain limitations. In recent years, due to the rapid development of deep learning methods and artificial intelligence theory, it has sh...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/15G06N3/04G06N3/08G06F111/10G06F119/12
CPCG06F30/15G06N3/049G06N3/084G06F2111/10G06F2119/12G06N3/045
Inventor 张堃时昊天李珂华帅
Owner NORTHWESTERN POLYTECHNICAL UNIV
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