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Closed loop near time optimal magnetic attitude control using dynamic weighted neural network

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2 Author(s)
Ali Heydari ; Aerospace Engineering Dept., Sharif University of Technology, Tehran, Iran ; Seid H. Pourtakdoust

The problem of time optimal magnetic attitude control is treated and an open loop solution is first obtained using a variational approach. In order to close the control loop, a neural network with time varying weights is proposed as a feedback optimal controller applicable to the time varying nonlinear system. The good robustness and low real-time computational burden of the proposed neuro-controller makes the controller more useful compared to the other control methods.

Published in:

Control and Automation, 2008 16th Mediterranean Conference on

Date of Conference:

25-27 June 2008