Title :
Artificial intelligence techniques applied to vehicle management system diagnostics
Author :
Cochran, Keith G.
Author_Institution :
McDonnell Aircraft Co., St. Louis, MO, USA
Abstract :
A vehicle management system (VMS) research and development project is underway at McDonnel Aircraft to integrate control of systems on combat aircraft and enhance diagnostics. A VMS demonstrator has been constructed to test VMS methodologies and architectures. Two real-time expert systems are under development to diagnose electrical and fuel system failures on the VMS demonstrator: an electrical expert system, located on a Sun Microsystems SPARCstation 1 that acquires data from a centralized computer; and a fuel expert system, located in the control computers using a shared memory allocation with the control software. Both expert systems used the CLIPS inference engine developed by NASA. Future enhancements to the two expert systems will include more use of probability in determining failures and testing other versions of the CLIPS inference engine
Keywords :
aerospace computing; aerospace simulation; aircraft control; artificial intelligence; expert systems; military computing; military systems; probability; real-time systems; CLIPS inference engine; McDonnel Aircraft; NASA; Sun Microsystems SPARCstation 1; combat aircraft; electrical expert system; electrical failure; fuel expert system; fuel system failures; probability; real-time expert systems; shared memory allocation; vehicle management system diagnostics; Aerospace control; Aircraft manufacture; Artificial intelligence; Centralized control; Control systems; Diagnostic expert systems; Engines; Fuels; Intelligent vehicles; Voice mail;
Conference_Titel :
Digital Avionics Systems Conference, 1991. Proceedings., IEEE/AIAA 10th
Conference_Location :
Los Angeles, CA
DOI :
10.1109/DASC.1991.177201
