A real-time expert control system status monitor using linear predictive coding algorithms

Author

Doraiswami, R. ; Jiang, J.

Author_Institution

Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada

fYear

1991

fDate

11-13 Dec 1991

Firstpage

2592

Abstract

A real-time control system status monitoring scheme is proposed. The scheme consists of linear predictive coding algorithms, a knowledge base, and an inference engine. The scheme is capable of providing real-time information on the control system in terms of stability, settling time, percentage overshoot, and integral squared error. The proposed scheme has been applied to a DC motor position control system under various normal/abnormal operating conditions. The proposed scheme has successfully provided useful information on the overall system stability and performance

Keywords

control system analysis computing; expert systems; inference mechanisms; real-time systems; stability; DC motor position control system; inference engine; integral squared error; knowledge base; linear predictive coding algorithms; percentage overshoot; real-time expert control system status monitor; settling time; stability; Control systems; DC motors; Engines; Error correction; Inference algorithms; Linear predictive coding; Monitoring; Prediction algorithms; Real time systems; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1991., Proceedings of the 30th IEEE Conference on

Conference_Location

Brighton

Print_ISBN

0-7803-0450-0

Type

conf

DOI

10.1109/CDC.1991.261819

Filename

261819