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Optimization of Input Values of Simulated Motors Using Grey Relational Analysis

Studying motor faults and their behavior first requires simulating a healthy squirrel cage induction motor, which is achieved when the output values and the target values are similar. In initial experimental results, the output values did not reach target values. The three target values are stator nominal current, nominal torque, and nominal rotational speed per minute (rpm) on the nameplate of the actual motor. Therefore, the goal of this research was to determine the optimum values for the six input parameters that contribute to the minimum difference between the output and target values. This was conducted using MATLAB SIMULINK and evaluated using the Grey relational analysis. Two simulated motors are used to optimize inputs for getting output values that are very closed to the target values. The output values of the simulated motor were almost identical (98.5-99%) to the values of targets on the nameplate data on the actual motor in the laboratory. Therefore, the output values of the simulated motor allow us to study motor faults experimentally. Another result is that a new equation was developed during this research work.