Nonlinear rule-based detection and identification of control system failures

G. Schram, S. M. Gopisetty, R. F. Stengel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Well-established linear procedures for detection and identification of control system failures are extended to nonlinear systems within a fuzzy logic framework. This rule-based approach has particular advantages for application to nonlinear systems that can be represented as linear parameter varying (LPV) systems. The effectiveness of the technique in the presence of modeling uncertainties, actuator dynamic failures and failures in redundant actuators is evaluated. It is pointed out that for certain practical failures, identification of the exact failure is a limitation that existing approaches to failure detection and identification do not address. Use of additional sources of information and a knowledge-based diagnostics is highlighted. Simulations conducted on a nonlinear aircraft model are included.

Original languageEnglish (US)
Title of host publicationProceedings of the 1998 American Control Conference, ACC 1998
Pages1600-1604
Number of pages5
DOIs
StatePublished - 1998
Event1998 American Control Conference, ACC 1998 - Philadelphia, PA, United States
Duration: Jun 24 1998Jun 26 1998

Publication series

NameProceedings of the American Control Conference
Volume3
ISSN (Print)0743-1619

Other

Other1998 American Control Conference, ACC 1998
CountryUnited States
CityPhiladelphia, PA
Period6/24/986/26/98

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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    Schram, G., Gopisetty, S. M., & Stengel, R. F. (1998). Nonlinear rule-based detection and identification of control system failures. In Proceedings of the 1998 American Control Conference, ACC 1998 (pp. 1600-1604). [707276] (Proceedings of the American Control Conference; Vol. 3). https://doi.org/10.1109/ACC.1998.707276