An Adaptive Digital Neural Network-Like-PID Control Law Design for Fuel Cell System Based on FPGA Technique

An Adaptive Digital Neural Network-Like-PID Control Law Design for Fuel Cell System Based on FPGA Technique

This paper proposes an on-line adaptive digital Proportional Integral Derivative (PID) control algorithm based on Field Programmable Gate Array (FPGA) for Proton Exchange Membrane Fuel Cell (PEMFC) Model. This research aims to design and implement Neural Network like a digital PID using FPGA in orde...

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Bibliographic Details
Main Authors: Wajdi T. Joudah Al-Rubaye, Ahmed S. Al-Araji, Hayder A. Dhahad
Format: Article
Language:English
Published: University of Baghdad 2020-09-01
Series:Journal of Engineering
Subjects:
Fuel Cell
FPGA
Neural Network- PID Controller
Particle Swarm Optimization
Online Access:http://joe.uobaghdad.edu.iq/index.php/main/article/view/1155

Internet

http://joe.uobaghdad.edu.iq/index.php/main/article/view/1155

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