Design optimization of double-acting hybrid magnetic thrust bearings with control integration using multi-objective evolutionary algorithms

Mechatronics

Volumn 19, Issue 6, 2009, Pages 945-964

  Rao, Jagu S ^a   Tiwari, R ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

Author keywords

Biased magnets; Design optimization; Genetic algorithms; Magnetic bearings

Indexed keywords

ACTUATORS; CONSTRAINED OPTIMIZATION; CONTROLLERS; DESIGN; GENETIC ALGORITHMS; GEOMETRY; MAGNETIC BEARINGS; MAGNETISM; MAGNETS; MULTIOBJECTIVE OPTIMIZATION; OPTIMAL SYSTEMS; THRUST BEARINGS;

ACTIVE MAGNETIC THRUST BEARING; BIASED MAGNETS; CONSTRAINED MULTI-OBJECTIVE OPTIMIZATIONS; DESIGN OPTIMIZATION; DOUBLE-ACTING ACTUATORS; MAGNETIC THRUST BEARING; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; REAL CODED GENETIC ALGORITHM;

MAGNETIC ACTUATORS;

EID: 68349089220     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2009.06.011     Document Type: Article

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