Control Relevant Blind Identification of Disturbances With Application to a Multivariable Active Vibration Isolation Platform
Matthijs Boerlage, Bram de Jager, Maarten Steinbuch
Abstract
Matthijs Boerlage, Bram de Jager, Maarten Steinbuch
Abstract
This paper deals with the identification of root causes of disturbances in multivariable systems. It is shown that this boils down to a blind identification problem that can be solved, under additional assumptions, within certain indeterminacies. Using the results from identification, it is illustrated how sources can be physically interpreted and the location of the sources can be recovered. Also, a design tool is developed to select multivariable feedback controller candidates. The practical feasibility is demonstrated on an industrial multivariable controlled active vibration isolation platform.
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This paper deals with the identification of root causes of disturbances in multivariable systems. It is shown that this boils down to a blind identification problem that can be solved, under additional assumptions, within certain indeterminacies. Using the results from identification, it is illustrated how sources can be physically interpreted and the location of the sources can be recovered. Also, a design tool is developed to select multivariable feedback controller candidates. The practical feasibility is demonstrated on an industrial multivariable controlled active vibration isolation platform.
Key concepts: Multivariable calculus, Identification (biology), Control theory (sociology), Vibration isolation, Control engineering, Isolation (microbiology), Controller (irrigation), System identification