Title :
On the feasible polygon classifications of linear switched reluctance machines
Author :
Liu, Cheng-Tsung ; Chen, Yan-Nan
Author_Institution :
Inst. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Abstract :
This paper provides a systematic guidance for linear switched reluctance machine design. By classifying the feasible polygons for desired machine operations, the physical size limits of either longitudinal or transverse flux linear machine poles and pole pitches can be determined. Also, with appropriate objective function selections, the constraints for associated machine optimization studies can be defined from the polygon boundaries. Comparison verifications are provided to show the adequacies and capabilities of the proposed algorithms
Keywords :
linear machines; machine theory; magnetic flux; optimisation; reluctance machines; algorithms; feasible polygon classifications; linear switched reluctance machines; longitudinal flux linear machine poles; machine design; machine optimization studies; objective function selections; physical size limits; pole pitches; transverse flux linear machine poles; Brushes; Constraint optimization; Design optimization; Magnetic analysis; Propulsion; Reluctance machines; Reluctance motors; Robust control; Servosystems; Variable speed drives;
Conference_Titel :
Electric Machines and Drives Conference Record, 1997. IEEE International
Conference_Location :
Milwaukee, WI
Print_ISBN :
0-7803-3946-0
DOI :
10.1109/IEMDC.1997.604215