Civil aircraft cabin door automatic drilling and riveting path planning method based on improved ant colony algorithm

Abstract

The invention discloses a civil aircraft cabin door automatic drilling and riveting path planning method based on an improved ant colony algorithm, and relates to the technical field of civil aircraft cabin door automatic drilling and riveting path planning. A shortest path model for automatic drilling and riveting path planning in each area and an inter-area switching path planning model are established, the cabin door is divided into a plurality of areas according to process constraints, heuristic information of an ant colony algorithm is improved under the condition of guaranteeing reference hole correction precision constraints, and the accuracy of the cabin door is improved. And the problem that the distance between the to-be-drilled rivet holes is small and cannot be searched or even is stopped is solved. The method combines actual constraint division regions, improves heuristic information and pheromone updating strategies of the ant colony algorithm, enables the algorithm convergence speed to be higher, achieves global optimum in the regions, uses the genetic algorithm between the regions, achieves optimal switching selection between the regions on the basis of achieving the optimum in the regions, and improves the optimal switching selection between the regions. And finally, automatic drilling and riveting path planning is globally optimal, the path is shortest, and the automatic drilling and riveting efficiency is improved on the basis of ensuring the drilling and riveting quality.

Description

technical field [0001] The invention relates to the technical field of path planning for automatic drilling and riveting of civil aircraft cabin doors, in particular to a path planning method for a group of riveting holes to be drilled in the process of automatic drilling and riveting of civil aircraft cabin doors. Background technique [0002] Automatic drilling and riveting technology is a key technology in the assembly of large aerospace parts of wall panels, which is of great significance for improving the efficiency of their assembly. On the one hand, a civil aircraft cabin door has more than 1,000 assembly holes, and the overall shape is irregular. The traditional riveting sequence mainly depends on the work experience of the engineer. The riveting sequence methods adopted mainly include the edge method and the center method. The error gradually accumulates along the direction, causing the riveting direction to sway; although the center method can reduce the accumulati...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the current situation of low efficiency of automatic drilling and riveting by existing automatic drilling and riveting equipment, the present invention provides an automatic drilling and riveting path planning method for cabin doors of civil aircraft based on the improved ant colony algorithm

This method aims at the low efficiency of the traditional automatic drilling and riveting method relying on the experience of engineers. Combined with the bionic algorithm, the actual holes to be drilled and riveted on the hatch are first divided according to the process constraints, and then according to the range that can be corrected by the reference holes in the division. The bionic ant colony algorithm is introduced in a single area, and the heuristic information and pheromone update strategy of the algorithm are improved according to the distribution of the actual rivet holes to be drilled on the hatch, so as to improve the drilling and riveting efficiency of the rivet holes to be drilled in the area. The genetic algorithm is used to solve the inter-region, so as to further improve the drilling and riveting efficiency of the actual holes to be drilled on the entire hatch

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