Adaptive Reduced Modal Model Identification for Arbitrarily Branched Multi-Inertia Traction Drive-Trains

摘要

The traction drive-train of modern lo- comotives consists of a multi-inertia system. For control purposes an accurate and suitable reduced three-inertia model is required. Therefore a universal modal identification algorithm is proposed, taking arbitrarily branched multi-inertia traction drive-trains and adaption due to wheelset wear into consideration.