Fuzzy logic and state variable control applied to a seeker servomotor system

Author

David Joseph Conboy

Date of Award

12-1996

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

James C. Hung

Committee Members

Marshall O. Pace, J. Wayne Waller

Abstract

This study presents a comparison of LQ optimal and fuzzy control on a complex mechanical servomotor system modeled after a missile seeker. Simulation results indicate that the fuzzy controller displays superior robustness to uncertainties in the physical system that tend to cause steady-state error. The fuzzy controller uses a variation of Sugeno inference, a variable input gain adaptation mechanism to accommodate variation in step response sizes, and an integral emulator that uses a gradient-descent philosophy to eliminate steady-state error. The state variable controller is augmented with the fuzzy integral emulator to significantly reduce its sensitivity to steady-state error without introducing the degradation in transient characteristics caused by use of linear integral control on a system with drastic limiting of the control output.

Recommended Citation

Conboy, David Joseph, "Fuzzy logic and state variable control applied to a seeker servomotor system. " Master's Thesis, University of Tennessee, 1996.
https://trace.tennessee.edu/utk_gradthes/10801