Translator Disclaimer
10 November 2007 Spacecraft's automatic landing control based on online tracing identification method of neural network
Author Affiliations +
Proceedings Volume 6795, Second International Conference on Space Information Technology; 67954Z (2007) https://doi.org/10.1117/12.775005
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China
Abstract
To improve the dynamical property and decoupling capability for a class of spacecraft system with strong coupling, a neuron-network controller based on online tracing identification is established to meet the decoupling requirements of multivariable system. The model with new structure and learning algorithm has significance for weight matrices and makes training process of weights become more distinct and straightforward. The new neural network is then applied to identification of nonlinear dynamics system, which the speed of learning and convergence is improved greatly for using the priori input-output state knowledge. The results of simulation show that the neuron network decoupling controller based on online tracing identification can effectively reduce the identification errors caused by the different sampling data, and improve prominently the precision and the reliability of neural network in the system identification. The controller has powerful self-learning and self-adaptive decouple capabilities.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianling Zhang and Jinwen An "Spacecraft's automatic landing control based on online tracing identification method of neural network", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67954Z (10 November 2007); https://doi.org/10.1117/12.775005
PROCEEDINGS
6 PAGES


SHARE
Advertisement
Advertisement
Back to Top