Design of a fuzzy logic controller for a target tracking system

A fuzzy logic controller has been developed to track a single nonmaneuvering target. The fuzzy controller simplifies the problem by analyzing the azimuth and elevation movements independently. The performance of the controller has been optimized primarily for error and secondarily for computation time. The resulting system is a multi-input single-output single-closed-loop proportional controller with the platform drive motor voltage as the feedback variable. Results are summarized from experiments. The heuristic rulebase learning programs and the membership function shape are discussed. Small improvements in error reduction can be made by changing the membership functions but the most significant improvements resulted from improved rulebase learning