Control effectiveness estimation using an adaptive Kalman estimator

N. Eva Wu; Youmin Zhang; Kemin Zhou

Control effectiveness estimation using an adaptive Kalman estimator

N. Eva Wu
, Youmin Zhang
, Kemin Zhou

Electrical and Computer Eng

Binghamton University

State University of New York Binghamton University

Research output: Contribution to conference › Paper › peer-review

22 Scopus citations

Abstract

In this paper, an adaptive Kalman filtering algorithm is exploited for use to estimate the abrupt reduction of control effectiveness in dynamic systems. Control effectiveness factors are used to quantify faults entering control systems through actuators. A set of covariance-dependent forgetting factors is introduced into the filtering algorithm. As a result, the change in the control effectiveness is accentuated to help achieve a more accurate estimate more rapidly. The algorithm is applied to an aircraft model for the identification of impairment in its control surfaces.

Original language	English
Pages	181-186
Number of pages	6
State	Published - 1998
Event	Proceedings of the 1998 IEEE International Symposium on Intelligent Control, ISIC - Gaithersburg, MD, USA Duration: Sep 14 1998 → Sep 17 1998

Conference

Conference	Proceedings of the 1998 IEEE International Symposium on Intelligent Control, ISIC
City	Gaithersburg, MD, USA
Period	09/14/98 → 09/17/98

Cite this

@conference{97e3ae26e08641c3b184ec4d33fd45cb,

title = "Control effectiveness estimation using an adaptive Kalman estimator",

abstract = "In this paper, an adaptive Kalman filtering algorithm is exploited for use to estimate the abrupt reduction of control effectiveness in dynamic systems. Control effectiveness factors are used to quantify faults entering control systems through actuators. A set of covariance-dependent forgetting factors is introduced into the filtering algorithm. As a result, the change in the control effectiveness is accentuated to help achieve a more accurate estimate more rapidly. The algorithm is applied to an aircraft model for the identification of impairment in its control surfaces.",

author = "Wu, \{N. Eva\} and Youmin Zhang and Kemin Zhou",

year = "1998",

language = "English",

pages = "181--186",

note = "Proceedings of the 1998 IEEE International Symposium on Intelligent Control, ISIC ; Conference date: 14-09-1998 Through 17-09-1998",

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TY - CONF

T1 - Control effectiveness estimation using an adaptive Kalman estimator

AU - Wu, N. Eva

AU - Zhang, Youmin

AU - Zhou, Kemin

PY - 1998

Y1 - 1998

N2 - In this paper, an adaptive Kalman filtering algorithm is exploited for use to estimate the abrupt reduction of control effectiveness in dynamic systems. Control effectiveness factors are used to quantify faults entering control systems through actuators. A set of covariance-dependent forgetting factors is introduced into the filtering algorithm. As a result, the change in the control effectiveness is accentuated to help achieve a more accurate estimate more rapidly. The algorithm is applied to an aircraft model for the identification of impairment in its control surfaces.

AB - In this paper, an adaptive Kalman filtering algorithm is exploited for use to estimate the abrupt reduction of control effectiveness in dynamic systems. Control effectiveness factors are used to quantify faults entering control systems through actuators. A set of covariance-dependent forgetting factors is introduced into the filtering algorithm. As a result, the change in the control effectiveness is accentuated to help achieve a more accurate estimate more rapidly. The algorithm is applied to an aircraft model for the identification of impairment in its control surfaces.

UR - https://www.scopus.com/pages/publications/0032292541

M3 - Paper

SP - 181

EP - 186

T2 - Proceedings of the 1998 IEEE International Symposium on Intelligent Control, ISIC

Y2 - 14 September 1998 through 17 September 1998

ER -

Control effectiveness estimation using an adaptive Kalman estimator

Abstract

Conference

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