Intelligent aircraft route planning system and method

A trajectory planning and aircraft technology, applied in the field of trajectory planning and intelligent aircraft, can solve problems with high complexity and inability to solve them efficiently

Active Publication Date: 2020-04-14
ARMY ENG UNIV OF PLA
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AI Technical Summary

Problems solved by technology

[0006] In order to solve the above problems, the present invention provides an intelligent aircraft track planning system and its method, which effectively avoids the certain randomness and high complexity of the track planning algorithm in the prior art, which cannot be achieved under large-scale and wide-area conditions. Efficiently Solving Defects

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  • Intelligent aircraft route planning system and method

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Embodiment Construction

[0087] Reinforcement learning method is a research hotspot in recent years. The core algorithm of the famous AlphaGo uses reinforcement learning algorithm. Reinforcement learning algorithms are widely used to solve intelligent decision-making problems, or sequential decision-making problems. Applying reinforcement learning to trajectory planning, the intelligent aircraft can get a reward from the environment every time it walks a certain distance, and the current state is transferred to the next state according to certain rules. The intelligent aircraft flies a certain distance again and iterates repeatedly. Until reaching the destination, the goal of the entire algorithm is to maximize the cumulative reward obtained. The application of reinforcement learning to path planning has set off a heat wave, including using reinforcement learning to solve the classic traveling salesman problem.

[0088] The present invention will be further described below in conjunction with the acc...

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Abstract

The invention discloses an intelligent aircraft route planning system and method. The system comprises a description module, an establishment module, a Markov module, a reinforcement learning module and a design module. The description module is used for describing an optimization problem of rapid flight path planning under the constraint of multiple positioning errors; the establishment module isused for establishing a rapid flight path planning mathematical model under the constraint of multiple positioning errors; the Markov module is used for expressing the rapid planning mathematical model in the form of a Markov decision process by introducing the characteristics of Markov property and Markov process; the reinforcement learning module is used for introducing reinforcement learning into the form of the Markov decision process; and the design module is used for designing an intelligent aircraft track rapid planning algorithm based on reinforcement learning for the form of the Markov decision-making process after reinforcement learning and solving the intelligent aircraft track rapid planning algorithm. In combination with other structures or methods, the defects that in the prior art, a flight path planning algorithm has certain randomness and high complexity, and incapable of realizing efficient solving under large-scale and wide-area conditions are effectively overcome.

Description

technical field [0001] The present invention relates to the technical field of intelligent aircraft, and also relates to the technical field of trajectory planning, in particular to an intelligent aircraft trajectory planning system and its method, and in particular to a reinforcement learning-based intelligent aircraft trajectory rapid planning system and its method. Background technique [0002] The prototype of intelligent aircraft is a bit like unmanned aerial vehicle, but it is more advanced and intelligent. With the rapid development of information technology, man-machines are facing great challenges in a highly dynamic confrontation environment, making intelligent aircraft Emerging as the times require, especially when performing some dangerous tasks, intelligent aircraft can be flexible, and effectively avoid economic and personnel losses while completing tasks efficiently. [0003] Aircraft trajectory planning is a key technology to realize the automatic navigation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C25/00
CPCG01C25/00
Inventor 丁国如谷江春王海超孙佳琛林凡迪
Owner ARMY ENG UNIV OF PLA
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