Title :
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
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;
Conference_Titel :
Southeastcon '90. Proceedings., IEEE
Conference_Location :
New Orleans, LA
DOI :
10.1109/SECON.1990.117938
