基于ELM的飞机数字化装配定位运动模型

doi:10.7527/S1000-6893.2015.0152

Abstract

Abstract:

The research of semi-closed loop positioning for the tandem assembly mechanism in open poor aircraft assembly environment is conducted and the kinematic model of aircraft digital assembly location is studied based on extreme learning machine (ELM) for the positioning movement in assembly process. By analyzing the kinematic characteristics and performance requirements of the aircraft digital assembly location, the single-hidden layer feedforward neural-network model of assembly positioning movement is proposed, the data identification model of positioning movement is presented based on ELM, and finally the offline positioning movement identification method based on ELM is proposed. Achieving testing a certain type of aircraft fuselage panels' flexible pre-positioning tooling, the results show that the obtained positioning motion model meets the directly assembly positioning accuracy by ±0.25 mm and reaches the requirements ±0.50 mm about aircraft stringer assembly location accuracy. Several key technologies involved in the test system have been successfully applied to a large aircraft assembly system.

Key words: assembly machines-aerospace applications, neural network models, extreme learning machine, kinematics models, mechanisms-control systems

CLC Number:

V262.4

HU Yulong, WANG Zhongqi, LI Xining, KANG Yonggang. Kinematic model of digital assembly location for airplane based on ELM[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(4): 1374-1383.

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Kinematic model of digital assembly location for airplane based on ELM

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