Computationally efficient and stable order reduction method for a large-scale model of MEMS piezoelectric energy harvester

In this work, we present a computationally efficient model order reduction technique for a large-scale multiport model of piezoelectric energy harvester. This novel technique generates stable reduced order models. The method combines model reduction based on Krylov subspaces and a Schur complement transformation of the resulting system. We demonstrate an excellent match between the full-scale and the reduced order model during transient and harmonic simulation.