A model reference adaptive approach for state estimation in electromagnetic actuators

Abstract

In this paper, a model reference adaptive system (MRAS) approach is applied for estimating the armature position in electromagnetic actuators. Two different MRAS strategies are carried out. The first applies a Lyapunov approach in order to derive the adaptation law, the second uses hyperstability theory. The results are compared to a state-of-the-art position estimation method, and the MRAS approach shows better performance, in particular at higher speed. Some problems in regard to the hyperstability approach are analyzed as well, and the next steps towards a robust and practical feasible approach are addressed.