High performance control design for a flexible space structure is challenging since high fidelity plant models are difficult to obtain a priori. Uncertainty in the control design models typically require a very robust, low performance control design which must be tuned on-orbit to achieve the required performance. A new procedure for refining a multivariable open loop plant model based on closed-loop response data is presented. Using a minimal representation of the state space dynamics, a least squares prediction error method is employed to estimate the plant parameters. This control-relevant system identification procedure stresses the joint nature of the system identification and control design problem by seeking to obtain a model that minimizes the difference between the predicted and actual closed-loop performance. This paper presents an algorithm for iterative closed-loop system identification and controller redesign along with illustrative examples.
On-orbit model refinement for controller redesign
1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339) ; 2 ; 105-116 vol.2
01.01.1998
1055060 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
On-Orbit Model Refinement for Controller Redesign
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