Multi-objective optimization design using amended particle swarm optimization and Taguchi method for a six-phase copper rotor induction motor
| Autor: | Chih-Hong Lin, Chang-Chou Hwang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010302 applied physics
0209 industrial biotechnology Engineering Mathematical optimization Control and Optimization business.industry Rotor (electric) Applied Mathematics Particle swarm optimization 02 engineering and technology Management Science and Operations Research 01 natural sciences Multi-objective optimization Industrial and Manufacturing Engineering Finite element method Manufacturing cost Computer Science Applications law.invention Taguchi methods 020901 industrial engineering & automation Electrical discharge machining law 0103 physical sciences business Induction motor |
| Zdroj: | Engineering Optimization. 49:693-708 |
| ISSN: | 1029-0273 0305-215X |
| DOI: | 10.1080/0305215x.2016.1208463 |
| Popis: | A multi-objective optimization design technique for a six-phase copper rotor induction motor is proposed. The amended particle swarm optimization (PSO) and Taguchi methods combined with finite element analysis are used in this design technique. The objectives in the first-stage optimization are the minimization of manufacturing cost and starting current. In the second-stage optimization, the objectives are the maximization of efficiency, power factor and output torque. The Taguchi method can optimize the machine parameters of performance characteristics in electrical discharge machining. The experimental results are further transformed into the signal-to-noise ratios and amended PSO coefficients based on amended PSO analysis with regard to multiple performance characteristics index values. The results of the optimizations showed significant reduction in terms of the use of magnets as well as improvement in the machine performance. Finally, the experimental results confirm the validity of the propo... |
| Databáze: | OpenAIRE |
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