Stratosphere airship regional residence path planning method based on two-dimensional interval prediction search

By optimizing the flight path of stratospheric airships using a two-dimensional interval prediction search algorithm and a simulated annealing algorithm, the problem of balancing energy consumption and mission time was solved, enabling efficient loitering within a designated airspace and adapting to airship missions with different starting positions.

CN119886477BActive Publication Date: 2025-11-11BEIJING UNIV OF TECH
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Patent Information

Application Number
CN202411374897.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-29
Publication Date
2025-11-11
Estimated Expiration
2044-09-29

AI Technical Summary

Technical Problem

Existing technologies struggle to balance energy consumption and mission completion time while planning the regional stay path for stratospheric airships, especially when the starting position is outside the designated airspace, and how to quickly enter and stay in the designated airspace.

Method used

A two-dimensional interval prediction search algorithm, combined with simulated annealing, is used to construct an optimization objective function. By adjusting the airspeed and heading angle, path planning is achieved, avoiding local optima and improving search efficiency and accuracy.

Benefits of technology

It enables rapid mission completion with low energy consumption and allows the aircraft to remain in designated airspace, improving the efficiency and accuracy of path planning and adapting to the mission requirements of airships with different starting positions.

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Abstract

This invention discloses a method for planning a regional stationary flight path based on two-dimensional interval prediction. The method includes the following steps: establishing an energy consumption model for a stratospheric airship; expressing an optimization problem based on the airspeed and energy consumption of the stratospheric airship; referring to interval prediction algorithms and simulated annealing algorithms, solving the optimization problem based on the dynamics model and energy consumption model of the stratospheric airship to obtain the optimal airspeed and heading angle; and updating the current state variables of the airship and determining mission completion. In practical applications, the initial energy reserve, mission start point, target point, and other state variables of the flight mission are input into the controller, and the priority parameters of the flight mission optimization target are adjusted, thereby enabling the stratospheric airship to plan a route that meets the requirements to complete the mission. When applied to stratospheric airship regional stationary missions, this invention enables missions that enter the airspace from a target point outside the airspace and perform regional stationary operations.
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