The ability of many insects, especially moths, to locate either food or a member of the opposite sex is an
amazing achievement. There are numerous scenarios where having this ability embedded into ground-based
or aerial vehicles would be invaluable. This paper presents results from a 3-D computer simulation of an
Unmanned Aerial Vehicle (UAV) autonomously tracking a chemical plume to its source. The simulation study
includes a simulated dynamic chemical plume, 6-degree of freedom, nonlinear aircraft model, and a bio-inspired
navigation algorithm. The emphasis of this paper is the development and analysis of the navigation algorithm.
The foundation of this algorithm is a fuzzy controller designed to categorize where in the plume the aircraft is
located: coming into the plume, in the plume, exiting the plume, or out of the plume.