کنترل کننده با کارایی بالا برای درایو موتور سیکلت مغناطیسی داخلی با استفاده از روش های هوش مصنوعی

In developing the proposed controller, the PI controller parameters and, also, the anti-windup strategy are optimized by GA for some operating conditions, in a closed loop vector control scheme. By obtaining the parameters at a number of points in the possible operating region, a look-up table approach has been completed. Then, an ANN is trained by this look-up table. Ultimately, the well-trained ANN is utilized for on-line tuning of the controller parameters to ensure optimum drive performance under different disturbances and operating conditions.