Robust Performance Enhancement Using Disturbance Observers for Hysteresis Compensation Based on Generalized Prandtl–Ishlinskii Model

Abstract

This paper presents an approach employing disturbance observers to enhance the performance of inversebased hysteresis compensation based on the generalized Prandtl–Ishlinskii model in feedback control referencetracking applications. It is first shown that the error resulting from inexact hysteresis compensation is an Lâˆ‍bounded signal. Hence, a disturbance observer (DOB) is designed to cancel its effect and improve the closed loop robust tracking performance in the presence of plant dynamics uncertainty. The design of the DOB makes use of an equivalent internal modelbased estimation of exogenous disturbances, where the internal model dynamics is designed to have at least an eigenvalue at the origin. The synthesis is then formulated as an Hâˆ‍ weightedsensitivity optimization for static output feedback (SOF) gain of a Luenberger observer. A linearization heuristic is then implemented to solve the bilinearmatrixinequality (BMI) constrained semidefinite program (SDP) for a (sub)optimal static gain. Simulation results indicate that tracking performance is indeed improved using the combined inversionbased compensation and the DOB.