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A Novel Methodology Based on Particle Swarm Optimization and Genetic Algorithm in Paper Industry and Marine Application

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Field Value
 
Title A Novel Methodology Based on Particle Swarm Optimization and Genetic Algorithm in Paper Industry and Marine Application
 
Creator Kumar, M.Senthil
Mahadevan, K.
 
Subject PID Controller
Genetic algorithm
Particle Swarm Optimization
Marine application
 
Description 1357-1364
Scope of this analysis is to tune the proportional-integral-derivative (PID) parameters autonomously for controlling the moisture content in the paper industry by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. The GA and PSO based PID tuning results are compared with the Conventional based PID tuning to examine the performance of time domain specifications; hence, it is well-suited for marine application. The real time prototype model of paper machine is designed and controlled by using PIC microcontroller embedded with the programming in C language. This model is used to measure the moisture content level in the paper.
 
Date 2016-10-18T08:52:04Z
2016-10-18T08:52:04Z
2016-10
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/handle/123456789/35731
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.45(10) [October 2016]