A prototype intelligent control structure using intermittent multiple independent measurements

Author

Lynch, P.M. ; Figueroa, J.F. ; DePaso, J.

Author_Institution

Dept. of Mech. Eng., Tulane Univ., New Orleans, LA, USA

fYear

1990

fDate

1-4 Apr 1990

Firstpage

847

Abstract

A theoretical framework is proposed for using a rule-based system model to modify control operations using intermittent sensor measurements. A set of general rules and a control modification operator are presented. The rules are used to make decisions based on the system condition by simply adjusting the control gains, or perhaps by restructuring a Kalman estimator. Preliminary theoretical results in reconfiguration of Kalman estimator equations are shown and have been simulated with image tracking systems. A prototype intelligent controller using the proposed structure and implemented in PROLOG and C is demonstrated for control of a second-order system with simple fusion of two nonindependent sensors

Keywords

Kalman filters; control engineering computing; filtering and prediction theory; knowledge based systems; C; Kalman estimator; PROLOG; intelligent control structure; intermittent multiple independent measurements; nonindependent sensor fusion; rule-based system model; Control systems; Equations; Intelligent control; Intelligent sensors; Intelligent structures; Intelligent systems; Kalman filters; Knowledge based systems; Prototypes; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '90. Proceedings., IEEE

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/SECON.1990.117938

Filename

117938