Intelligent aircraft flight path planning method under multi-constraint condition

Abstract

The invention provides an intelligent aircraft flight path planning method under a multi-constraint condition, which relates to the technical field of flight path planning. Aiming at the problem of rapid flight path planning of an intelligent aircraft under the limitation of system positioning precision, the method comprises the following steps of firstly, preprocessing data according to a given limitation error in a constraint condition, removing invalid correction points which do not meet the constraint condition, and establishing a multi-target optimization model. The requirements of small flight path length and few correction times are met as much as possible, then a multi-objective optimization algorithm (NSGA2) is adopted for solving according to the specific requirements of each problem, effective correction points are obtained, and then the flight path of the aircraft is obtained. According to the method, the flight path length and algorithm complexity of the aircraft can be effectively reduced, the correction frequency can be reduced, the effectiveness of the algorithm is ensured, and rapid planning of the flight path of the intelligent aircraft under the multi-constraint condition is realized.

Description

technical field [0001] The invention relates to the technical field of track planning, in particular to a track planning method for an intelligent aircraft under multiple constraint conditions. Background technique [0002] Route Planning is a highly comprehensive and interdisciplinary research topic. Since the 1950s, scholars in various fields at home and abroad have proposed many flight path planning methods according to their respective subject backgrounds and professional fields. However, with the continuous introduction of new planning methods and new algorithms, it also brings troubles to planning designers. Among the many planning methods, to choose a method that is more suitable for the current needs, it is necessary to grasp the essence of the trajectory planning problem and have a full understanding of various planning methods. [0003] At present, the trajectory planning under complex and multi-constraint conditions is mostly focused on the research on related m...

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Problems solved by technology

[0004] Therefore, whether the intelligent aircraft can quickly plan the flight path in a complex environment has become a crucial issue at present. Due to the existence of many uncontrollable internal and external factors during the flight, the current positioning system of the aircraft cannot be accurate. This error is likely to cause an accident and lead to mission failure

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