Design of Neural Network Controller for Space Robot with Flexible Manipulators

Abstract:

Neural network self-learning optimization PID control algorithm is put forward for free-floating space robot with flexible manipulators. Firstly, dynamics model of space flexible robot is established, then, neural network with good learning ability is used to approach non-linear system. Optimization algorithm of network weights is designed to speed up the learning speed and the adjustment velocity. Error function is offered by PID controller. The neural network self-learning PID control method can improve the control precision.

• Periodical: Applied Mechanics and Materials (Volume 394)
• Pages: 393-397
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.394.393
• Online since: September 2013
• Authors: Jing Ma, Wen Hui Zhang, Zhi Hua Zhu
• Keywords: Neural Network (NN), Optimized Learning Algorithm, Space Flexible Robot

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