ABSTRACT This paper presents a new method for multiobjective optimisation of a switched reluctance motor. Four objective functions regarding motor efficiency, power factor, torque ripples and outer volume are considered. The proposed method combines fuzzy logic, genetic algorithm and simplex technique as a general global optimisation technique. The new technique is searching for the best compromise solution, which maximises the designer total degree of satisfaction. In order to predict the motor performance accurately , a hybrid FEA-analytical simulation model has been adopted. The model combines some of the FEA accuracy with the simplicity of analytical model. A full time stepping FEA analysis for the optimised motor has been done to verify the final design of the motor.
El-Wakeel, A. (2006). MULTIOBJECTIVE OPTIMISATION OF SWITCHED RELUCTANCE MOTOR USING FUZZY-GENETIC-SIMPLEX ALGORITHM. The International Conference on Electrical Engineering, 5(5th International Conference on Electrical Engineering ICEENG 2006), 1-14. doi: 10.21608/iceeng.2006.33567
MLA
Amged El-Wakeel. "MULTIOBJECTIVE OPTIMISATION OF SWITCHED RELUCTANCE MOTOR USING FUZZY-GENETIC-SIMPLEX ALGORITHM". The International Conference on Electrical Engineering, 5, 5th International Conference on Electrical Engineering ICEENG 2006, 2006, 1-14. doi: 10.21608/iceeng.2006.33567
HARVARD
El-Wakeel, A. (2006). 'MULTIOBJECTIVE OPTIMISATION OF SWITCHED RELUCTANCE MOTOR USING FUZZY-GENETIC-SIMPLEX ALGORITHM', The International Conference on Electrical Engineering, 5(5th International Conference on Electrical Engineering ICEENG 2006), pp. 1-14. doi: 10.21608/iceeng.2006.33567
VANCOUVER
El-Wakeel, A. MULTIOBJECTIVE OPTIMISATION OF SWITCHED RELUCTANCE MOTOR USING FUZZY-GENETIC-SIMPLEX ALGORITHM. The International Conference on Electrical Engineering, 2006; 5(5th International Conference on Electrical Engineering ICEENG 2006): 1-14. doi: 10.21608/iceeng.2006.33567
)
View on SCiNiTO