Title :
Fuzzy design of a switched reluctance motor based on the torque profile optimization
Author :
Choi, Changhwan ; Lee, Daeok ; Park, Kyihwan
Author_Institution :
Dynamics & Control Lab., Kwangju Inst. of Sci. & Technol., South Korea
fDate :
9/1/2000 12:00:00 AM
Abstract :
This paper presents a new design method for improving the torque performance of a switched reluctance motor (SRM) for high speed applications. The drawback of the conventional design method based on the overall static average torque maximization is that the torque control performance is degraded at high speed. On the other hand, the proposed method optimizes the torque profile by dividing it into several regions so that it is suitable for high speed operation. This multi-objective optimization problem is solved by using a fuzzy optimization algorithm which incorporates a finite element method. The torque performance of the motor for various speed ranges is investigated and the optimally designed motor shows a better performance at high speed
Keywords :
finite element analysis; fuzzy set theory; optimisation; reluctance motors; torque; finite element method; fuzzy design; multi-objective optimization problem; static average torque maximization; switched reluctance motor; torque control performance; torque performance; torque profile optimization; Design methodology; Design optimization; Finite element methods; Inductance; Optimization methods; Production; Reluctance machines; Reluctance motors; Stators; Torque;
Journal_Title :
Magnetics, IEEE Transactions on