Linear Induction Motor Vector Control System Based On Fuzzy Logic Controller

Linear induction motors (LIM) are special developments of conventional induction motors.rnconceptual construction principle of a motor is, made by cut out and laid flat rotational inductionrnmotors (RIM). The motor is used for a variety of demanding applications, including high speedrnground transportation and specific industrial applications. The aim of this thesis is to presentrnmodeling of LIM including end effect using MATLAB Simulink and applied vector control systemrnto control the proposed motor, to achieve accurate operation to required applications. In order torncheck accuracy of vector controlled system, simulation of the developed system is performed usingrnMATLAB software with added Fuzzy Logic Controller on proposed control mechanisms. This rncontroller performance is compared with conventional proportional plus integral(PI) controller.rnTheir validity, again implemented on MATLAB. Both types of vector controller techniques arerntested at different dynamic conditions, which are no-load and load condition, variation of primaryrnresistance condition and, sudden command speed change and tracking, are presented. In additionrnto mentioned conditions tested, end effect existence factor on vector control systems are performedrnusing simulation. From overall simulations results, we noticed that, FLC gives good relativernresponses over conventional PI controller in all conditions. For instance, change variation errorrnoccurred on PI controller from varies between (0 to 0.047) to zero steady state error and alsornminimize maximum peak overshoot exist on PI controller from 0.069 to 0.016. Hence, fuzzy logicrncontroller is relatively a robust controller.

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