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INTEGRATION OF CONTROLS AND DIAGNOSTICS USING NEURAL NETWORKS
 

Summary: TM7 = 2:lO
INTEGRATION OF CONTROLS AND
DIAGNOSTICS USING NEURAL NETWORKS
Ioannis K. Konstantopoulos and Panos J. Antsaklis
Department of Electrical Engineering
University of Notre Dame
Notre Dame, IN 46556, U.S.A.
e-mail: antsakli@saturn.ece.nd.edu
Abstract
Controllers capable of performing failure diagnosis have
additional diagnostic outputs to detect and isolate sensor
and actuator faults. A linear such controller is usually
called a four-parameter controller. In this paper, a neural
network model of a controller with diagnostic capabili-
ties (CDC) is presented for the first time. This nonlin-
ear neural controller is trained to operate as a traditional
controller, while at the same time it provides reproduc-
tion of the failure occurring either at the actuator or the
sensor. The cases of actuator and sensor failures are stud-
ied independently. Several simulation results concerning

  

Source: Antsaklis, Panos - Department of Electrical Engineering, University of Notre Dame

 

Collections: Engineering