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Industrial application control with fuzzy
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Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Industrial application control with fuzzy


World Congress on Industrial Automation

July 20-22, 2015 San Francisco, USA

Alexandre Baratella Lugli1 and Maureen Daniela Arambulo Hervas2

Posters-Accepted Abstracts: Adv Robot Autom

Abstract :

As it knows most of the quotidian problems are not simply to evaluate and considerate formal modeling based in traditional techniques is not the answer. What all industries look is always be better about production and control process that is the reason why the word control is common. The technical development to process control is increasing as faster as industry necessities. The process control makes the evaluation and executions more efficient in the industry. This article was made with the purpose to compare two types of control, one with Fuzzy logic and the second one with PID control. The manuscripts show the advantages and disadvantages of each one, about controlling a temperature plant, in accordance with the functional parameters. The goal of this project is compare what the fuzzy control can do against a PID, which it is a classical control. The comparisons are made with: error, stability, overshoot and response time.

Google Scholar citation report
Citations: 1127

Advances in Robotics & Automation received 1127 citations as per Google Scholar report

Advances in Robotics & Automation peer review process verified at publons

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