Hybrid Planning for an Air Gap Adjustment System Using Fuzzy Models
Philipp Adelt*, Natascha Esau*, and Alexander Schmidt**
*C-LAB, University of Paderborn, Germany
**Institute for Mechatronics and Design Engineering, University of Paderborn, Germany
Hybrid planning is an approach to couple continuous domains commonly found in mechatronic systems with discrete planning problems. An ongoing effort to bring self-optimization as a design means of improved overall system operation quality to mechatronic systems is the overall frame that this approach is embedded in. An innovative rail-bound vehicle system propelled by a linear motor employs an Air Gap Adjustment System to control the air gap between the two motor parts and is presented as an application to the concept.
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