Artificial neural network inverse model (aim) based position control of dc motor

The Artificial Neural Network (ANN) Inverse Model (AIM) generates an output that is proportional to the voltage required at the input of the DC motor to produce the desired speed at the time intervals. It may not be easily obvious that precise control of speed translates to accurate control of the position. Thus for accurate position to be achieved, the profile of position should be incorporated in the equation governing the precise control of speed by simple integration; this is same for all DC motors. The input to the AIM is the DC motor position at four successive intervals. The plant model is identified first then; the controller is trained so that the plant output follows the reference model output. The concept is to bring down the tracking error to zero or minimal acceptable value. Simulation results show that using motor position as input ensures accurate position control which automatically brings about accurate speed tracking.