The fuzzy controller based on genetic algorithm of the high-voltage big-capacity AC motor soft starter

Because an AC motor is a controlled object that is non-linear and strong-coupled and it is difficult to obtain a satisfactory result by means of the general control strategy, the paper proposes a high-voltage AC motor soft starter´s designing method based on the adjusting fuzzy control rules. The controller on-line self-adjusts the adjustable factor α. Using the genetic algorithm, we design a parameter optimization program. The adjustable factor α is on-line readjusted through the fuzzy inference according to the current error E and the changing error E_C, thus ensuring that the soft starter has the best dynamic-state and steady-state performance. We design a high-voltage AC motor´s soft-starter based on this control strategy. The experiment shows that the control strategy effectively eliminates the current and torque pulsation during the starting process.