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.

本研究提出一种基于自适应神经模糊推理系统（Adaptive Neuro-Fuzzy Inference System）的新型直流电机（DC Motor）转速控制方法，该方法结合降压变换器（Buck Converter）搭建控制器，并与比例积分（PI）控制器对比，以验证所提控制器在直流电机转速调控中的有效性。所提控制器采用自适应神经模糊推理系统，对电机的角速度误差信号及其微分信号进行处理，进而调节供给电机的工作电压。