EFFICIENCY OPTIMIZATION WITH PI GAINS ADAPTATION OF FIELD ORIENTED CONTROL APPLIED ON FIVE PHASE INDUCTION MOTOR USING GA AND PSO | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 15, Volume 41, No 2, March and April 2013, Page 592-616 | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2013.114751 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| M. Mahmoud Ismail | ||||
| Electrical Power and Machine Department, Faculty of Engineering Helwan University | ||||
| Abstract | ||||
| Improving of field oriented control (FOC) drives performance is studied for five phase saturated model induction motor as an example of multi phase machines which is now preferable than the conventional three phase motors . Genetic algorithm (GA) and Particle swarm optimization (PSO) are used for this purpose. Optimum flux reference identification by using GA and PSO are used to minimize the motor input power to have the optimum motor efficiency. Selecting the optimal gains using both methods are done to improve the motor response and behavior. A comparison between the simulation results was done to evaluate the performance for the developed controller adopting (GA) and (PSO) algorithms. The results show that, the proposed PSO controller algorithm has better optimization performance more than the proposed GA in both gain tuning and also in the selection flux set point. | ||||
| Keywords | ||||
| Five Phase; Saturated model; Induction motors; Filed Oriented Control drives; Flux Observer Controller; genetic algorithm; Particle swarm algorithm | ||||
|
Statistics Article View: 68 |
||||
