Title :
Feed forward filters for state and disturbance estimation
Author :
Radke, Aaron ; Miklosovic, Robert ; Fast, Brian
Author_Institution :
Lockheed Martin, Bethesda
Abstract :
This paper introduces a method for representing an observer as a set of decoupled filters to provide an understanding of observer design for the practitioner. The concept uses feed forward information to predict and cancel phase lag inherent in common filters. A general modeling paradigm is also proposed to simplify disturbance rejection techniques. Both ideas are applied to analyze and compare approximate differentiators, state observers, disturbance observers (DOB), unknown input observers (UIO), and extended state observers (ESO).
Keywords :
filtering theory; observers; decoupled filters; disturbance observers; disturbance rejection techniques; extended state observers; feed forward filters; state estimation; unknown input observers; Data mining; Feedback control; Feeds; Frequency estimation; Information filtering; Information filters; Observers; State estimation; State feedback; Uncertainty; differentiator; disturbance observer; extended state observer; feed forward; feedback control; signal filtering; state estimation; unknown input observer;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434969
