Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
In this paper, the speed control of the real DC motor is experimentally investigated using nonlinear PID neural network controller. As a simple and fast tuning algorithm, two optimization techniques are used; trial and error method and particle swarm optimization PSO algorithm in order to tune the n...
Enregistré dans:
Auteur principal: | Ahmed Sabah Al-Araji |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Al-Khwarizmi College of Engineering – University of Baghdad
2014
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/dd75d41ec5b44b72946d88d21ac36c7d |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
par: Ahmed Sabah Al-Araji
Publié: (2017) -
Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
par: Khulood A. Dagher, et autres
Publié: (2013) -
Modeling and Simulation of Sensorless Speed Control of a Buck Converter Controlled Dc Motor
par: Bassim M. H. Jassim, et autres
Publié: (2010) -
Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
par: Khulood A. Dagher, et autres
Publié: (2013) -
Modeling and Simulation of Sensorless Speed Control of a Buck Converter Controlled Dc Motor
par: Tagreed M. Ali, et autres
Publié: (2010)