Approximation of Environment Models for an Air Gap Adjustment System in a Hybrid Planning Context

Abstract

In mechatronic systems a lot of components above the controller level are needed for the development towards self-optimizing systems. Among them a hybrid planning architecture integrating discrete and continuous domains is of major importance to support the permanent determination of system objectives and their implementation during the course of action, which defines the principle of self-optimizing mechatronic systems. Such a novel hybrid planning architecture is outlined in this paper. In order to plan efficiently, environment models are needed for predicting future system behaviors. In this paper we propose a fuzzy logic based approach to environment modeling and apply it in a railway-bound domain within the context of an air gap adjustment system for a dual-fed linear motor powering a wheeled train.