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Paper:
Language: English:

Mission Planning and Flight Control: Meeting the Challenge with Intelligent Techniques


George Vachtsevanos*, Wonoh Kim*, Sami A. Al-Hasan*, Freeman Rufus Jr.*, Miguel Simon*, Daniel P. Schrage** and J. V. R. Prasad**


*School of Electrical and Computer Engineering
**School of Aerospace Engineering Georgia Institute of Technology Atlanta, GA 30332, U.S.A.


Received: March 30, 1997

Accepted: May 20, 1997


Keywords: Mission planning, Autonomous vehicle, Fuzzy navigator, Supervisory controller, Route planner, Flight controller, Integrated Product and Process Development

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.1, No.1 pp. 62-70, 1997

Abstract



This paper presents a hybrid hardware/software platform that supports flight control and mission planning algorithms for an autonomous helicopter. The emphasis is on the use of intelligent fuzzy logic based techniques and an object-modeling approach to account for unmodeled dynamics to address uncertainty issues and to provide a flexible platform for development purposes and an operator interface. Fuzzy logic routines are implemented in such critical vehicle modules as the route planner the fuzzy navigator the fault-tolerant tools and the flight controller.
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