TY - JOUR
T1 - Optimum flux distribution with harmonic injection for a multiphase induction machine using genetic algorithms
AU - Abdel-Khalik, Ayman Samy
AU - Mostafa Gadoue, Shady
AU - Masoud, Mahmoud I.
AU - Wiliams, Barry W.
PY - 2011/6/1
Y1 - 2011/6/1
N2 - This paper investigates a nontriplen multiphase induction machine when fed with harmonic current injection with different sequences for an open loop optimized flux distribution that produce a quasi-square wave in the machine air gap. This maximizes iron utilization, giving more torque per ampere. The relation between the fundamental and other harmonic components can be determined for the best iron utilization using genetic algorithms where optimum flux distribution with different injected harmonic order can be obtained. This means, the target is to optimize the flux distribution during no-load to determine the optimum constants that guarantee approximate square wave air-gap flux. The paper focuses on an 11-phase machine that can be excited with harmonics up to the ninth. The technique is assessed using both winding function and finite element analysis methods. The prototype machine is fed from an 11-phase inverter. The system DSP control using genetic algorithm produces an optimum flux distribution by using winding sequence and harmonic current injection. Simulation results for the 11-phase dq model and prototype drive experimental results are presented.
AB - This paper investigates a nontriplen multiphase induction machine when fed with harmonic current injection with different sequences for an open loop optimized flux distribution that produce a quasi-square wave in the machine air gap. This maximizes iron utilization, giving more torque per ampere. The relation between the fundamental and other harmonic components can be determined for the best iron utilization using genetic algorithms where optimum flux distribution with different injected harmonic order can be obtained. This means, the target is to optimize the flux distribution during no-load to determine the optimum constants that guarantee approximate square wave air-gap flux. The paper focuses on an 11-phase machine that can be excited with harmonics up to the ninth. The technique is assessed using both winding function and finite element analysis methods. The prototype machine is fed from an 11-phase inverter. The system DSP control using genetic algorithm produces an optimum flux distribution by using winding sequence and harmonic current injection. Simulation results for the 11-phase dq model and prototype drive experimental results are presented.
KW - Eleven-phase
KW - finite element analysis (FEA)
KW - genetic algorithm (GA)
KW - harmonic injection
KW - multiphase induction machine
KW - winding function
UR - http://www.scopus.com/inward/record.url?scp=79957496847&partnerID=8YFLogxK
UR - https://ieeexplore.ieee.org/document/5678812
U2 - 10.1109/TEC.2010.2093139
DO - 10.1109/TEC.2010.2093139
M3 - Article
AN - SCOPUS:79957496847
SN - 0885-8969
VL - 26
SP - 501
EP - 512
JO - IEEE Transactions on Energy Conversion
JF - IEEE Transactions on Energy Conversion
IS - 2
M1 - 5678812
ER -