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JACIII Vol.1 No.1 pp. 62-70
doi: 10.20965/jaciii.1997.p0062
(1997)

Paper:

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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
Published:
October 20, 1997
Creative Commons License
Keywords:
Mission planning, Autonomous vehicle, Fuzzy navigator, Supervisory controller, Route planner, Flight controller, Integrated Product and Process Development
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.

Cite this article as:
G. Vachtsevanos, W. Kim, S. Al-Hasan, F. Rufus Jr., M. Simon, D. Schrage, and J. Prasad, “Mission Planning and Flight Control: Meeting the Challenge with Intelligent Techniques,” J. Adv. Comput. Intell. Intell. Inform., Vol.1, No.1, pp. 62-70, 1997.
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