Design Controller depend in his work on Neural Fuzzy Networks to Control DC Motor's Speed

The Research Presents a New Methodology for Controlling DC Motor’s Speed by using Controller Depends on an Adaptive Neuro-Fuzzy Inference System, using buck converter, to see The Effectiveness of the Proposed Controller in Controlling The Speed of a Dc Motor, Compared to a PI Controller, The Proposed Controller Depends on an Adaptive Neuro-Fuzzy Inference System That Processes the Angular Velocity Error Signal of the Motor and its Derivative Signal in order to Control the Voltage That Feeds the Motor