MULTIOBJECTIVE OPTIMISATION OF SWITCHED RELUCTANCE MOTOR USING FUZZY-GENETIC-SIMPLEX ALGORITHM | ||||
| The International Conference on Electrical Engineering | ||||
| Article 39, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Page 1-14 PDF (347.43 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2006.33567 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Amged El-Wakeel | ||||
| Dr., Assistant professor, Electrical Power and Energy Department, MTC, Cairo, Egypt. | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Switched Reluctance Motors; Fuzzy Logic; Genetic Algorithms; Optimisation Methods; Finite Element Analysis | ||||
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