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Inverse kinematics solution and motion simulation of seven-degree-of-freedom ascending platform based on neural network

Jingyuan Wu, Xiangyi Ren

发表年份
2020
引用次数
3

摘要

Abstract A pseudoinverse-based inverse kinetic solving scheme for 7-degree-of-freedom redundant aerial platform robotic arm, the scheme combines Minimum Velocity Norm scheme and damped least-square method, a close-loop damped minimum velocity norm scheme is set up which allows to avoid the joints’ limitation and to ensure the solution’s stability near the singularity position. Further, a genetic algorithm optimized BP neural network is built. Genetic algorithm can improve the training efficiency and avoid trapping in local optimal solution. The application of neural network can ensure the real-time of solution.

关键词

Moore–Penrose pseudoinverseArtificial neural networkSingularityInverse kinematicsControl theory (sociology)KinematicsNorm (philosophy)Genetic algorithmPosition (finance)Computer science

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