Preliminary design study of a fuzzy tracking controller applied to a crane type manipulator

Abstract

[Abstract] The main purpose of a control system is usually to force the output to follow a reference input with zero steady state error while satisfying certain transient requirements such the settling time for rapid following, overshoot and smoothness of the transient response. This paper is concerned with finding a fuzzy rule-based controller achieved by learning from a virtual feedback (PID) controller capable for satisfying rapid following, zero steady state error and overshoot suppression applied to robotized manipulators dedicated to heavy loads or big container handling