Receding horizon FIR filter with estimated horizon initial state and its application to aircraft engine systems

Author

Han, Soo Hee ; Kim, Pyung Soo ; Kwon, Wook Hyun

Author_Institution

Sch. of Electr. Eng., Seoul Nat. Univ., South Korea

Volume

1

fYear

1999

fDate

1999

Firstpage

33

Abstract

Proposes a version of the discrete-time receding horizon FIR filter (RHFF) using the estimated horizon initial state. The estimated horizon initial state is obtained from the best linear unbiased estimator (BLUE) scheme. The proposed RHFF for the current state can be represented in either an iterative form or a batch form. The proposed RHFF is always time-invariant and has unbiasedness and remarkable deadbeat properties. The proposed RHFF is shown to be equivalent to the existing RHFF with unknown horizon initial state. For the validity of the proposed RHFF, the problem of a third-order dynamic model of an F-404 aircraft engine system is considered via simulation studies

Keywords

FIR filters; Riccati equations; aerospace engines; discrete time systems; matrix algebra; state estimation; F-404 aircraft engine system; best linear unbiased estimator; deadbeat properties; discrete-time receding horizon FIR filter; estimated horizon initial state; unbiasedness; Aircraft propulsion; Control systems; Engines; Feedback control; Filtering algorithms; Finite impulse response filter; H infinity control; IIR filters; Kalman filters; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1999. Proceedings of the 1999 IEEE International Conference on

Conference_Location

Kohala Coast, HI

Print_ISBN

0-7803-5446-X

Type

conf

DOI

10.1109/CCA.1999.806139

Filename

806139