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


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.

March 30, 1997
May 20, 1997
October 20, 1997
Mission planning, Autonomous vehicle, Fuzzy navigator, Supervisory controller, Route planner, Flight controller, Integrated Product and Process Development
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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