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

Published: 29 November 2022| Version 5 | DOI: 10.17632/8ny9x5s2dv.5
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Description

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.

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Institutions

Damascus University, Al Baath University

Categories

Artificial Intelligence, Motor Control, Electric Power, Controller Tuning, Adaptive Control System

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