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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, 1997Accepted:May 20, 1997Published:October 20, 1997
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.Data files:
