الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
In this study, a current optimization technique for an eleven phase induction machine based
on genetic algorithm is proposed to optimize the phase currents of the machine under fault
conditions. The fault conditions proposed in this study are one phase open and two adjacent
phases open.
Conventional optmuzation method requires solving complex nonlinear equations.
Moreover, suitable constraints should be selected such that the number of solved equations
equals the problem variables to obtain a unique solution.
The problem becomes more complicated as the number of disconnected phases increases.
Genetic algorithm is shown to be easier to solve such problem since it does not imply
solving nonlinear equations; also it does not need the function derivative.
Comparison between the two methods is carried out using finite element method to
simulate the machine flux corresponding to each optimum solution.
The solution for more than two disconnected phases is introduced in this study only with
the genetic algorithm method.
Genetic algorithm method and conventional method are used to calculate the phase currents
of the eleven phase machine under fault conditions. The torque produced by the machine
under fault conditions is compared with the torque of the healthy case.