NASA Technical Reports Server (NTRS) 19990008647: Predictive Feedback And Feedforward Control For Systems With Unknown Disturbances - Info and Reading Options
By NASA Technical Reports Server (NTRS)
"NASA Technical Reports Server (NTRS) 19990008647: Predictive Feedback And Feedforward Control For Systems With Unknown Disturbances" and the language of the book is English.
“NASA Technical Reports Server (NTRS) 19990008647: Predictive Feedback And Feedforward Control For Systems With Unknown Disturbances” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19990008647: Predictive Feedback And Feedforward Control For Systems With Unknown Disturbances
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
Edition Identifiers:
- Internet Archive ID: NASA_NTRS_Archive_19990008647
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"NASA Technical Reports Server (NTRS) 19990008647: Predictive Feedback And Feedforward Control For Systems With Unknown Disturbances" Description:
The Internet Archive:
Predictive feedback control has been successfully used in the regulation of plate vibrations when no reference signal is available for feedforward control. However, if a reference signal is available it may be used to enhance regulation by incorporating a feedforward path in the feedback controller. Such a controller is known as a hybrid controller. This paper presents the theory and implementation of the hybrid controller for general linear systems, in particular for structural vibration induced by acoustic noise. The generalized predictive control is extended to include a feedforward path in the multi-input multi-output case and implemented on a single-input single-output test plant to achieve plate vibration regulation. There are cases in acoustic-induce vibration where the disturbance signal is not available to be used by the hybrid controller, but a disturbance model is available. In this case the disturbance model may be used in the feedback controller to enhance performance. In practice, however, neither the disturbance signal nor the disturbance model is available. This paper presents the theory of identifying and incorporating the noise model into the feedback controller. Implementations are performed on a test plant and regulation improvements over the case where no noise model is used are demonstrated.
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