Ismail, M. (2013). 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, 41(No 2), 592-616. doi: 10.21608/jesaun.2013.114751
M. Mahmoud Ismail. "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, 41, No 2, 2013, 592-616. doi: 10.21608/jesaun.2013.114751
Ismail, M. (2013). '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, 41(No 2), pp. 592-616. doi: 10.21608/jesaun.2013.114751
Ismail, M. 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, 2013; 41(No 2): 592-616. doi: 10.21608/jesaun.2013.114751
EFFICIENCY OPTIMIZATION WITH PI GAINS ADAPTATION OF FIELD ORIENTED CONTROL APPLIED ON FIVE PHASE INDUCTION MOTOR USING GA AND PSO
Article 15, Volume 41, No 2, March and April 2013, Page 592-616
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.
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