A Hybrid Nonlinear Adaptive Tracking Controller for a Resonating Fiber Microscanner

Abstract

A robust hybrid tracking controller for a nonlinear resonating fiber microscanner is developed and implemented to remove scan distortions—toroid and swirl. Using offline batch feedback, a nonlinear search, and simulated regulation, an adaptive controller iteratively finds system parameters that cause an online open-loop feedback linearized plant-inversion controller to robustly and accurately track a spiral scan with a high-speed flyback region. This offline adaptive feedback/online open-loop hybrid approach removes the need for miniature sensors and high-speed real-time controllers in situ.