Hybrid Planning for an Air Gap Adjustment System Using Fuzzy Models | Zendy

Philipp Adelt | Zendy; Natascha Esau | Zendy; Alexander Schmidt | Zendy

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Hybrid Planning for an Air Gap Adjustment System Using Fuzzy Models

Author(s) -

Philipp Adelt,

Natascha Esau,

Alexander Schmidt

Publication year - 2009

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2009.p0647

Subject(s) - mechatronics , control engineering , fuzzy logic , hybrid system , computer science , air gap (plumbing) , frame (networking) , fuzzy control system , control theory (sociology) , engineering , control (management) , artificial intelligence , telecommunications , materials science , machine learning , composite material

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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