PENGGUNAAN ALGORITMA GENETIKA BINARY UNTUK OPTIMASI RUGI-RUGI PADA PARAMETER MOTOR INDUKSI MODEL d-q

Rudianto, Rudianto and Birowo, Birowo (2014) PENGGUNAAN ALGORITMA GENETIKA BINARY UNTUK OPTIMASI RUGI-RUGI PADA PARAMETER MOTOR INDUKSI MODEL d-q. Jurnal Bisnis Teknologi, 1 (1). pp. 32-36. ISSN 2355-8865

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Abstract

This journal describes a three phase induction motor of parametre to predictive a induction motor to work. In use based a data of designing of industries and fabrication. Three phase Industion motor is using maximum current, staring current full load current and power factor to full load. If its to needed a find to work amount optimum for induction motor, Although for non-linear movement controlling. Non linear movement controlling in hoist crane selected to test Binary Of Genetic Algorithm through simulation is non linear hoist crane movement model which basically is unstable. Binary Of Genetic Algorithm Control rule is derived using Lyapunov theory based on linearization model from hoist crane movement. Reference model selected was stabilized linear model. Then simulation was performed to observe Binary Of Genetic Algorithm performance on non linear model. Full state feedback control through simulation has been shown not able to stabilize hoist crane movement. It is modeling using to motor with dq model.

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